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Flowise/packages/components/models.json
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Abdul Samad SiddiquiandClaude Sonnet 4.6 9c85c14205 fix(models): correct chatMistralAI and chatCohere pricing by 1000x (#6393) 
Pricing values in chatMistralAI and chatCohere were entered as $/1K tokens
instead of the $/token unit used by every other provider in this file.

All 17 Mistral models and 5 Cohere models had their input_cost and
output_cost divided by 1000 to match actual published pricing:
- open-mistral-nemo: $0.15/M tokens (was showing $150/M)
- mistral-large-latest: $2/M in, $6/M out (was showing $2000/$6000)
- command-r-plus-08-2024: $2.50/M in, $10/M out (was showing $2500/$10000)
- command-r-08-2024: $0.15/M in, $0.60/M out (was showing $150/$600)

Co-authored-by: Claude Sonnet 4.6 <[email protected]>
2026-05-18 21:50:52 +01:00

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{
"chat": [
{
"name": "awsChatBedrock",
"models": [
{
"label": "ai21.jamba-1-5-large-v1:0",
"name": "ai21.jamba-1-5-large-v1:0",
"description": "AI21 Jamba 1.5 Large - Text generation",
"input_cost": 0.000002,
"output_cost": 0.000008
},
{
"label": "ai21.jamba-1-5-mini-v1:0",
"name": "ai21.jamba-1-5-mini-v1:0",
"description": "AI21 Jamba 1.5 Mini - Text generation",
"input_cost": 0.0000002,
"output_cost": 0.0000004
},
{
"label": "amazon.nova-micro-v1:0",
"name": "amazon.nova-micro-v1:0",
"description": "Amazon Nova Micro - Text-only, fastest and most cost-effective",
"input_cost": 0.000000035,
"output_cost": 0.00000014,
"inference_profile_geos": ["us", "eu", "apac"]
},
{
"label": "amazon.nova-lite-v1:0",
"name": "amazon.nova-lite-v1:0",
"description": "Amazon Nova Lite - Multimodal (text, image, video)",
"input_cost": 0.00000006,
"output_cost": 0.00000024,
"inference_profile_geos": ["us", "eu", "apac", "ca"]
},
{
"label": "amazon.nova-pro-v1:0",
"name": "amazon.nova-pro-v1:0",
"description": "Amazon Nova Pro - Multimodal (text, image, video), balanced performance",
"input_cost": 0.0000008,
"output_cost": 0.0000032,
"inference_profile_geos": ["us", "eu", "apac"]
},
{
"label": "amazon.nova-2-lite-v1:0",
"name": "amazon.nova-2-lite-v1:0",
"description": "Amazon Nova 2 Lite - Multimodal (text, image, video)",
"input_cost": 0.00000006,
"output_cost": 0.00000024,
"inference_profile_geos": ["us", "eu", "jp", "global"]
},
{
"label": "anthropic.claude-haiku-4-5-20251001-v1:0",
"name": "anthropic.claude-haiku-4-5-20251001-v1:0",
"description": "Claude 4.5 Haiku - Latest Haiku with multimodal support",
"input_cost": 0.000001,
"output_cost": 0.000005,
"inference_profile_geos": ["us", "eu", "jp", "au", "global"]
},
{
"label": "anthropic.claude-sonnet-4-20250514-v1:0",
"name": "anthropic.claude-sonnet-4-20250514-v1:0",
"description": "Claude 4 Sonnet - Balanced intelligence and speed, multimodal",
"input_cost": 0.000003,
"output_cost": 0.000015,
"inference_profile_geos": ["us", "eu", "apac", "global"]
},
{
"label": "anthropic.claude-sonnet-4-5-20250929-v1:0",
"name": "anthropic.claude-sonnet-4-5-20250929-v1:0",
"description": "Claude 4.5 Sonnet - Enhanced reasoning, multimodal",
"input_cost": 0.000003,
"output_cost": 0.000015,
"inference_profile_geos": ["us", "eu", "jp", "au", "global"]
},
{
"label": "anthropic.claude-sonnet-4-6",
"name": "anthropic.claude-sonnet-4-6",
"description": "Claude 4.6 Sonnet - Latest Sonnet, multimodal",
"input_cost": 0.000003,
"output_cost": 0.000015,
"inference_profile_geos": ["us", "eu", "jp", "au", "global"]
},
{
"label": "anthropic.claude-opus-4-1-20250805-v1:0",
"name": "anthropic.claude-opus-4-1-20250805-v1:0",
"description": "Claude 4.1 Opus - Powerful reasoning, multimodal",
"input_cost": 0.000015,
"output_cost": 0.000075,
"inference_profile_geos": ["us"]
},
{
"label": "anthropic.claude-opus-4-5-20251101-v1:0",
"name": "anthropic.claude-opus-4-5-20251101-v1:0",
"description": "Claude 4.5 Opus - Advanced reasoning, multimodal",
"input_cost": 0.000005,
"output_cost": 0.000025,
"inference_profile_geos": ["us", "eu", "global"]
},
{
"label": "anthropic.claude-opus-4-7",
"name": "anthropic.claude-opus-4-7",
"description": "Claude 4.7 Opus - Latest and most powerful Claude, multimodal",
"input_cost": 0.000005,
"output_cost": 0.000025,
"inference_profile_geos": ["us", "eu", "jp", "global"]
},
{
"label": "anthropic.claude-opus-4-6-v1",
"name": "anthropic.claude-opus-4-6-v1",
"description": "Claude 4.6 Opus - Most powerful Claude, multimodal",
"input_cost": 0.000005,
"output_cost": 0.000025,
"inference_profile_geos": ["us", "eu", "au", "global"]
},
{
"label": "deepseek.v3.2",
"name": "deepseek.v3.2",
"description": "DeepSeek V3.2 - Text generation",
"input_cost": 0.00000062,
"output_cost": 0.00000185,
"stop_sequences": false
},
{
"label": "deepseek.r1-v1:0",
"name": "deepseek.r1-v1:0",
"description": "DeepSeek-R1 - Reasoning model",
"input_cost": 0.00000055,
"output_cost": 0.0000022,
"inference_profile_geos": ["us"],
"stop_sequences": false
},
{
"label": "google.gemma-3-4b-it",
"name": "google.gemma-3-4b-it",
"description": "Google Gemma 3 4B - Multimodal (text, image)",
"input_cost": 0.00000004,
"output_cost": 0.00000008
},
{
"label": "google.gemma-3-12b-it",
"name": "google.gemma-3-12b-it",
"description": "Google Gemma 3 12B - Multimodal (text, image)",
"input_cost": 0.00000009,
"output_cost": 0.00000029
},
{
"label": "google.gemma-3-27b-it",
"name": "google.gemma-3-27b-it",
"description": "Google Gemma 3 27B - Multimodal (text, image)",
"input_cost": 0.00000023,
"output_cost": 0.00000038
},
{
"label": "meta.llama3-8b-instruct-v1:0",
"name": "meta.llama3-8b-instruct-v1:0",
"description": "Meta Llama 3 8B - Text generation, classification",
"input_cost": 0.0000003,
"output_cost": 0.0000006
},
{
"label": "meta.llama3-70b-instruct-v1:0",
"name": "meta.llama3-70b-instruct-v1:0",
"description": "Meta Llama 3 70B - Advanced text generation, code generation",
"input_cost": 0.00000265,
"output_cost": 0.0000035
},
{
"label": "meta.llama3-1-8b-instruct-v1:0",
"name": "meta.llama3-1-8b-instruct-v1:0",
"description": "Meta Llama 3.1 8B - Text generation",
"input_cost": 0.0000003,
"output_cost": 0.0000006,
"inference_profile_geos": ["us"]
},
{
"label": "meta.llama3-1-70b-instruct-v1:0",
"name": "meta.llama3-1-70b-instruct-v1:0",
"description": "Meta Llama 3.1 70B - Advanced text generation",
"input_cost": 0.00000265,
"output_cost": 0.0000035,
"inference_profile_geos": ["us"]
},
{
"label": "meta.llama3-3-70b-instruct-v1:0",
"name": "meta.llama3-3-70b-instruct-v1:0",
"description": "Meta Llama 3.3 70B - Enhanced text generation",
"input_cost": 0.00000265,
"output_cost": 0.0000035,
"inference_profile_geos": ["us"]
},
{
"label": "meta.llama4-scout-17b-instruct-v1:0",
"name": "meta.llama4-scout-17b-instruct-v1:0",
"description": "Meta Llama 4 Scout 17B - Multimodal (text, image)",
"input_cost": 0.0000004,
"output_cost": 0.0000012,
"inference_profile_geos": ["us"]
},
{
"label": "meta.llama4-maverick-17b-instruct-v1:0",
"name": "meta.llama4-maverick-17b-instruct-v1:0",
"description": "Meta Llama 4 Maverick 17B - Multimodal (text, image)",
"input_cost": 0.0000004,
"output_cost": 0.0000012,
"inference_profile_geos": ["us"]
},
{
"label": "minimax.minimax-m2",
"name": "minimax.minimax-m2",
"description": "MiniMax M2 - Text generation",
"input_cost": 0.0000003,
"output_cost": 0.0000012
},
{
"label": "minimax.minimax-m2.1",
"name": "minimax.minimax-m2.1",
"description": "MiniMax M2.1 - Enhanced text generation",
"input_cost": 0.0000003,
"output_cost": 0.0000012
},
{
"label": "mistral.mistral-7b-instruct-v0:2",
"name": "mistral.mistral-7b-instruct-v0:2",
"description": "Mistral 7B - Classification, text generation, code generation",
"input_cost": 0.00000015,
"output_cost": 0.0000002
},
{
"label": "mistral.mixtral-8x7b-instruct-v0:1",
"name": "mistral.mixtral-8x7b-instruct-v0:1",
"description": "Mistral Mixtral 8x7B - Complex reasoning, code generation",
"input_cost": 0.00000045,
"output_cost": 0.0000007
},
{
"label": "mistral.mistral-large-2402-v1:0",
"name": "mistral.mistral-large-2402-v1:0",
"description": "Mistral Large (24.02) - Complex reasoning, RAG, agents",
"input_cost": 0.000008,
"output_cost": 0.000024
},
{
"label": "mistral.mistral-small-2402-v1:0",
"name": "mistral.mistral-small-2402-v1:0",
"description": "Mistral Small (24.02) - Cost-effective text generation",
"input_cost": 0.000001,
"output_cost": 0.000003
},
{
"label": "mistral.ministral-3-3b-instruct",
"name": "mistral.ministral-3-3b-instruct",
"description": "Mistral Ministral 3B - Multimodal (text, image), compact",
"input_cost": 0.0000001,
"output_cost": 0.0000001
},
{
"label": "mistral.ministral-3-8b-instruct",
"name": "mistral.ministral-3-8b-instruct",
"description": "Mistral Ministral 8B - Multimodal (text, image)",
"input_cost": 0.00000015,
"output_cost": 0.00000015
},
{
"label": "mistral.ministral-3-14b-instruct",
"name": "mistral.ministral-3-14b-instruct",
"description": "Mistral Ministral 14B - Multimodal (text, image)",
"input_cost": 0.0000002,
"output_cost": 0.0000002
},
{
"label": "mistral.mistral-large-3-675b-instruct",
"name": "mistral.mistral-large-3-675b-instruct",
"description": "Mistral Large 3 - Multimodal (text, image), most powerful",
"input_cost": 0.0000005,
"output_cost": 0.0000015
},
{
"label": "mistral.magistral-small-2509",
"name": "mistral.magistral-small-2509",
"description": "Mistral Magistral Small - Multimodal (text, image)",
"input_cost": 0.0000005,
"output_cost": 0.0000015
},
{
"label": "mistral.devstral-2-123b",
"name": "mistral.devstral-2-123b",
"description": "Mistral Devstral 2 123B - Code generation specialist",
"input_cost": 0.0000004,
"output_cost": 0.000002
},
{
"label": "mistral.pixtral-large-2502-v1:0",
"name": "mistral.pixtral-large-2502-v1:0",
"description": "Mistral Pixtral Large - Multimodal (text, image)",
"input_cost": 0.000003,
"output_cost": 0.000009,
"inference_profile_geos": ["us", "eu"]
},
{
"label": "mistral.voxtral-mini-3b-2507",
"name": "mistral.voxtral-mini-3b-2507",
"description": "Mistral Voxtral Mini - Speech and text",
"input_cost": 0.00000004,
"output_cost": 0.00000004
},
{
"label": "mistral.voxtral-small-24b-2507",
"name": "mistral.voxtral-small-24b-2507",
"description": "Mistral Voxtral Small - Speech and text",
"input_cost": 0.0000001,
"output_cost": 0.0000003
},
{
"label": "moonshot.kimi-k2-thinking",
"name": "moonshot.kimi-k2-thinking",
"description": "Moonshot Kimi K2 Thinking - Reasoning model",
"input_cost": 0.0000006,
"output_cost": 0.0000025
},
{
"label": "moonshotai.kimi-k2.5",
"name": "moonshotai.kimi-k2.5",
"description": "Moonshot Kimi K2.5 - Multimodal (text, image)",
"input_cost": 0.0000006,
"output_cost": 0.000003
},
{
"label": "nvidia.nemotron-nano-9b-v2",
"name": "nvidia.nemotron-nano-9b-v2",
"description": "NVIDIA Nemotron Nano 9B v2 - Text generation",
"input_cost": 0.00000006,
"output_cost": 0.00000023
},
{
"label": "nvidia.nemotron-nano-12b-v2",
"name": "nvidia.nemotron-nano-12b-v2",
"description": "NVIDIA Nemotron Nano 12B v2 VL - Multimodal (text, image)",
"input_cost": 0.0000002,
"output_cost": 0.0000006
},
{
"label": "nvidia.nemotron-nano-3-30b",
"name": "nvidia.nemotron-nano-3-30b",
"description": "NVIDIA Nemotron 3 Nano 30B - Text generation",
"input_cost": 0.00000006,
"output_cost": 0.00000024
},
{
"label": "openai.gpt-oss-20b-1:0",
"name": "openai.gpt-oss-20b-1:0",
"description": "OpenAI GPT OSS 20B - Text generation",
"input_cost": 0.00000007,
"output_cost": 0.0000003,
"stop_sequences": false
},
{
"label": "openai.gpt-oss-120b-1:0",
"name": "openai.gpt-oss-120b-1:0",
"description": "OpenAI GPT OSS 120B - Advanced text generation",
"input_cost": 0.00000015,
"output_cost": 0.0000006,
"stop_sequences": false
},
{
"label": "openai.gpt-oss-safeguard-20b",
"name": "openai.gpt-oss-safeguard-20b",
"description": "OpenAI GPT OSS Safeguard 20B - Content moderation",
"input_cost": 0.00000007,
"output_cost": 0.0000002,
"stop_sequences": false
},
{
"label": "openai.gpt-oss-safeguard-120b",
"name": "openai.gpt-oss-safeguard-120b",
"description": "OpenAI GPT OSS Safeguard 120B - Advanced content moderation",
"input_cost": 0.00000015,
"output_cost": 0.0000006,
"stop_sequences": false
},
{
"label": "qwen.qwen3-32b-v1:0",
"name": "qwen.qwen3-32b-v1:0",
"description": "Qwen 3 32B - Text generation",
"input_cost": 0.00000015,
"output_cost": 0.0000006
},
{
"label": "qwen.qwen3-coder-30b-a3b-v1:0",
"name": "qwen.qwen3-coder-30b-a3b-v1:0",
"description": "Qwen 3 Coder 30B - Code generation specialist",
"input_cost": 0.00000015,
"output_cost": 0.0000006
},
{
"label": "qwen.qwen3-next-80b-a3b",
"name": "qwen.qwen3-next-80b-a3b",
"description": "Qwen 3 Next 80B - Text generation",
"input_cost": 0.00000015,
"output_cost": 0.0000012
},
{
"label": "qwen.qwen3-vl-235b-a22b",
"name": "qwen.qwen3-vl-235b-a22b",
"description": "Qwen 3 VL 235B - Multimodal (text, image)",
"input_cost": 0.00000053,
"output_cost": 0.00000266
},
{
"label": "qwen.qwen3-coder-next",
"name": "qwen.qwen3-coder-next",
"description": "Qwen 3 Coder Next - Latest code generation",
"input_cost": 0.0000005,
"output_cost": 0.0000012
},
{
"label": "writer.palmyra-x4-v1:0",
"name": "writer.palmyra-x4-v1:0",
"description": "Writer Palmyra X4 - Text generation",
"input_cost": 0.0000025,
"output_cost": 0.00001,
"inference_profile_geos": ["us"]
},
{
"label": "writer.palmyra-x5-v1:0",
"name": "writer.palmyra-x5-v1:0",
"description": "Writer Palmyra X5 - Enhanced text generation",
"input_cost": 0.0000006,
"output_cost": 0.000006,
"inference_profile_geos": ["us"]
},
{
"label": "writer.palmyra-vision-7b",
"name": "writer.palmyra-vision-7b",
"description": "Writer Palmyra Vision 7B - Multimodal (text, image)",
"input_cost": 0.00000015,
"output_cost": 0.0000006
},
{
"label": "zai.glm-4.7",
"name": "zai.glm-4.7",
"description": "Z.AI GLM 4.7 - Text generation",
"input_cost": 0.0000006,
"output_cost": 0.0000022
},
{
"label": "zai.glm-4.7-flash",
"name": "zai.glm-4.7-flash",
"description": "Z.AI GLM 4.7 Flash - Fast text generation",
"input_cost": 0.00000007,
"output_cost": 0.0000004
},
{
"label": "minimax.minimax-m2.5",
"name": "minimax.minimax-m2.5",
"description": "MiniMax M2.5 - General purpose text generation",
"input_cost": 0.0000003,
"output_cost": 0.0000012
},
{
"label": "nvidia.nemotron-super-3-120b",
"name": "nvidia.nemotron-super-3-120b",
"description": "NVIDIA Nemotron 3 Super 120B A12B - Large-scale text generation",
"input_cost": 0.00000015,
"output_cost": 0.00000065
},
{
"label": "zai.glm-5",
"name": "zai.glm-5",
"description": "Z.AI GLM 5 - Advanced text generation",
"input_cost": 0.000001,
"output_cost": 0.0000032
},
{
"label": "amazon.nova-premier-v1:0 (Legacy)",
"name": "amazon.nova-premier-v1:0",
"description": "Amazon Nova Premier - Legacy",
"input_cost": 0.0000025,
"output_cost": 0.0000125,
"inference_profile_geos": ["us"]
},
{
"label": "anthropic.claude-3-haiku-20240307-v1:0 (Legacy)",
"name": "anthropic.claude-3-haiku-20240307-v1:0",
"description": "Claude 3 Haiku - Legacy",
"input_cost": 0.00000025,
"output_cost": 0.00000125,
"inference_profile_geos": ["us", "eu", "apac"]
},
{
"label": "anthropic.claude-3-5-haiku-20241022-v1:0 (Legacy)",
"name": "anthropic.claude-3-5-haiku-20241022-v1:0",
"description": "Claude 3.5 Haiku - Legacy",
"input_cost": 0.0000008,
"output_cost": 0.000004,
"inference_profile_geos": ["us"]
},
{
"label": "cohere.command-r-v1:0 (Legacy)",
"name": "cohere.command-r-v1:0",
"description": "Cohere Command R - Legacy",
"input_cost": 0.0000005,
"output_cost": 0.0000015
},
{
"label": "cohere.command-r-plus-v1:0 (Legacy)",
"name": "cohere.command-r-plus-v1:0",
"description": "Cohere Command R+ - Legacy",
"input_cost": 0.000003,
"output_cost": 0.000015
},
{
"label": "meta.llama3-2-1b-instruct-v1:0 (Legacy)",
"name": "meta.llama3-2-1b-instruct-v1:0",
"description": "Meta Llama 3.2 1B Instruct - Legacy",
"input_cost": 0.0000001,
"output_cost": 0.0000001,
"inference_profile_geos": ["us", "eu"]
},
{
"label": "meta.llama3-2-3b-instruct-v1:0 (Legacy)",
"name": "meta.llama3-2-3b-instruct-v1:0",
"description": "Meta Llama 3.2 3B Instruct - Legacy",
"input_cost": 0.00000015,
"output_cost": 0.00000015,
"inference_profile_geos": ["us", "eu"]
},
{
"label": "meta.llama3-2-11b-instruct-v1:0 (Legacy)",
"name": "meta.llama3-2-11b-instruct-v1:0",
"description": "Meta Llama 3.2 11B Instruct - Legacy",
"input_cost": 0.00000016,
"output_cost": 0.00000016,
"inference_profile_geos": ["us"]
},
{
"label": "meta.llama3-2-90b-instruct-v1:0 (Legacy)",
"name": "meta.llama3-2-90b-instruct-v1:0",
"description": "Meta Llama 3.2 90B Instruct - Legacy",
"input_cost": 0.00000072,
"output_cost": 0.00000072,
"inference_profile_geos": ["us"]
}
],
"regions": [
{
"label": "af-south-1",
"name": "af-south-1"
},
{
"label": "ap-east-1",
"name": "ap-east-1"
},
{
"label": "ap-east-2",
"name": "ap-east-2"
},
{
"label": "ap-northeast-1",
"name": "ap-northeast-1"
},
{
"label": "ap-northeast-2",
"name": "ap-northeast-2"
},
{
"label": "ap-northeast-3",
"name": "ap-northeast-3"
},
{
"label": "ap-south-1",
"name": "ap-south-1"
},
{
"label": "ap-south-2",
"name": "ap-south-2"
},
{
"label": "ap-southeast-1",
"name": "ap-southeast-1"
},
{
"label": "ap-southeast-2",
"name": "ap-southeast-2"
},
{
"label": "ap-southeast-3",
"name": "ap-southeast-3"
},
{
"label": "ap-southeast-4",
"name": "ap-southeast-4"
},
{
"label": "ap-southeast-5",
"name": "ap-southeast-5"
},
{
"label": "ap-southeast-6",
"name": "ap-southeast-6"
},
{
"label": "ap-southeast-7",
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{
"label": "europe-west3",
"name": "europe-west3"
},
{
"label": "europe-west2",
"name": "europe-west2"
},
{
"label": "asia-east1",
"name": "asia-east1"
},
{
"label": "asia-southeast1",
"name": "asia-southeast1"
},
{
"label": "asia-northeast1",
"name": "asia-northeast1"
},
{
"label": "asia-south1",
"name": "asia-south1"
},
{
"label": "australia-southeast1",
"name": "australia-southeast1"
},
{
"label": "southamerica-east1",
"name": "southamerica-east1"
},
{
"label": "africa-south1",
"name": "africa-south1"
},
{
"label": "asia-east2",
"name": "asia-east2"
},
{
"label": "asia-northeast2",
"name": "asia-northeast2"
},
{
"label": "asia-northeast3",
"name": "asia-northeast3"
},
{
"label": "asia-south2",
"name": "asia-south2"
},
{
"label": "asia-southeast2",
"name": "asia-southeast2"
},
{
"label": "australia-southeast2",
"name": "australia-southeast2"
},
{
"label": "europe-central2",
"name": "europe-central2"
},
{
"label": "europe-north1",
"name": "europe-north1"
},
{
"label": "europe-north2",
"name": "europe-north2"
},
{
"label": "europe-southwest1",
"name": "europe-southwest1"
},
{
"label": "europe-west10",
"name": "europe-west10"
},
{
"label": "europe-west12",
"name": "europe-west12"
},
{
"label": "europe-west6",
"name": "europe-west6"
},
{
"label": "europe-west8",
"name": "europe-west8"
},
{
"label": "europe-west9",
"name": "europe-west9"
},
{
"label": "me-central1",
"name": "me-central1"
},
{
"label": "me-central2",
"name": "me-central2"
},
{
"label": "me-west1",
"name": "me-west1"
},
{
"label": "northamerica-northeast1",
"name": "northamerica-northeast1"
},
{
"label": "northamerica-northeast2",
"name": "northamerica-northeast2"
},
{
"label": "northamerica-south1",
"name": "northamerica-south1"
},
{
"label": "southamerica-west1",
"name": "southamerica-west1"
},
{
"label": "us-east5",
"name": "us-east5"
},
{
"label": "us-south1",
"name": "us-south1"
},
{
"label": "us-west2",
"name": "us-west2"
},
{
"label": "us-west3",
"name": "us-west3"
},
{
"label": "us-west4",
"name": "us-west4"
}
]
},
{
"name": "groqChat",
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"label": "openai/gpt-oss-20b",
"name": "openai/gpt-oss-20b"
},
{
"label": "openai/gpt-oss-120b",
"name": "openai/gpt-oss-120b"
},
{
"label": "meta-llama/llama-4-maverick-17b-128e-instruct",
"name": "meta-llama/llama-4-maverick-17b-128e-instruct"
},
{
"label": "meta-llama/llama-4-scout-17b-16e-instruct",
"name": "meta-llama/llama-4-scout-17b-16e-instruct"
},
{
"label": "compound-beta",
"name": "compound-beta"
},
{
"label": "compound-beta-mini",
"name": "compound-beta-mini"
},
{
"label": "deepseek-r1-distill-llama-70b",
"name": "deepseek-r1-distill-llama-70b"
},
{
"label": "llama-3.3-70b-versatile",
"name": "llama-3.3-70b-versatile"
},
{
"label": "llama-3.3-70b-specdec",
"name": "llama-3.3-70b-specdec"
},
{
"label": "llama-3.2-1b-preview",
"name": "llama-3.2-1b-preview"
},
{
"label": "llama-3.2-3b-preview",
"name": "llama-3.2-3b-preview"
},
{
"label": "llama-3.2-11b-text-preview",
"name": "llama-3.2-11b-text-preview"
},
{
"label": "llama-3.2-90b-text-preview",
"name": "llama-3.2-90b-text-preview"
},
{
"label": "llama-3.1-8b-instant",
"name": "llama-3.1-8b-instant"
},
{
"label": "gemma-2-9b-it",
"name": "gemma-2-9b-it"
},
{
"label": "llama3-70b-8192",
"name": "llama3-70b-8192"
},
{
"label": "llama3-8b-8192",
"name": "llama3-8b-8192"
},
{
"label": "mixtral-saba-24b",
"name": "mixtral-saba-24b"
},
{
"label": "qwen-qwq-32b",
"name": "qwen-qwq-32b"
},
{
"label": "allam-2-7b",
"name": "allam-2-7b"
}
]
},
{
"name": "chatCohere",
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"label": "command-a-03-2025",
"name": "command-a-03-2025",
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"output_cost": 0.00001
},
{
"label": "command-r7b-12-2024",
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"output_cost": 0.00000015
},
{
"label": "command-a-reasoning-08-2025",
"name": "command-a-reasoning-08-2025",
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"output_cost": 0.00001
},
{
"label": "command-r-08-2024",
"name": "command-r-08-2024",
"description": "Command R – RAG, tool use, multilingual",
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"output_cost": 0.0000006
},
{
"label": "command-r-plus-08-2024",
"name": "command-r-plus-08-2024",
"description": "Command R+ – complex RAG, multi-step tool use",
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"output_cost": 0.00001
}
]
},
{
"name": "chatCerebras",
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"label": "llama-3.3-70b",
"name": "llama-3.3-70b",
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},
{
"label": "qwen-3-32b",
"name": "qwen-3-32b",
"description": "Balanced performance for general-purpose tasks"
},
{
"label": "llama3.1-8b",
"name": "llama3.1-8b",
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},
{
"label": "gpt-oss-120b",
"name": "gpt-oss-120b",
"description": "Largest model for demanding tasks"
},
{
"label": "zai-glm-4.7",
"name": "zai-glm-4.7",
"description": "Advanced reasoning and complex problem-solving"
}
]
},
{
"name": "deepseek",
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{
"label": "deepseek-chat",
"name": "deepseek-chat",
"input_cost": 0.00027,
"output_cost": 0.0011
},
{
"label": "deepseek-reasoner",
"name": "deepseek-reasoner",
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"output_cost": 0.00219
}
]
},
{
"name": "chatOpenAI",
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{
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{
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{
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{
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"output_cost": 0.000168
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{
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{
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{
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{
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{
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{
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{
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{
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"name": "gpt-4.5-preview",
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{
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"name": "gpt-4o-mini",
"input_cost": 0.00000015,
"output_cost": 0.0000006
},
{
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"name": "gpt-4o-mini-2024-07-18",
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"output_cost": 0.0000006
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{
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{
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"name": "gpt-4o-2024-11-20",
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{
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"name": "gpt-4o-2024-08-06",
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{
"label": "gpt-4o-2024-05-13",
"name": "gpt-4o-2024-05-13",
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{
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{
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{
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{
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{
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{
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{
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"output_cost": 0.000012
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{
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{
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{
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{
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"name": "gpt-4-0125-preview",
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{
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{
"label": "gpt-4-1106-vision-preview",
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{
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{
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{
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{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613",
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"output_cost": 0.00012
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{
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},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125",
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"output_cost": 0.0000015
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106",
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"output_cost": 0.000002
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613",
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"output_cost": 0.000002
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k",
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"output_cost": 0.0000015
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613",
"input_cost": 0.000003,
"output_cost": 0.000004
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]
},
{
"name": "chatOpenAI_LlamaIndex",
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"output_cost": 0.00003
},
{
"label": "gpt-5.5-pro",
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{
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{
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{
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{
"label": "gpt-4-turbo-preview",
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{
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{
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview",
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{
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{
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"name": "gpt-4-0613",
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"output_cost": 0.00006
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{
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"name": "gpt-4-32k",
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"output_cost": 0.00012
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613",
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"output_cost": 0.00012
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{
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"name": "gpt-3.5-turbo",
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"output_cost": 0.000002
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106",
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"output_cost": 0.000002
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613",
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"output_cost": 0.000002
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k",
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"output_cost": 0.0000015
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613",
"input_cost": 0.000003,
"output_cost": 0.000004
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]
},
{
"name": "chatPerplexity",
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{
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"name": "sonar",
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"output_cost": 0.000001
},
{
"label": "sonar-pro",
"name": "sonar-pro",
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"output_cost": 0.000015
},
{
"label": "sonar-reasoning",
"name": "sonar-reasoning",
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"output_cost": 0.000005
},
{
"label": "sonar-reasoning-pro",
"name": "sonar-reasoning-pro",
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"output_cost": 0.000008
},
{
"label": "sonar-deep-research",
"name": "sonar-deep-research",
"input_cost": 0.000002,
"output_cost": 0.000008
},
{
"label": "r1-1776",
"name": "r1-1776",
"input_cost": 0.000002,
"output_cost": 0.000008
}
]
},
{
"name": "chatMistralAI",
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{
"label": "open-mistral-nemo",
"name": "open-mistral-nemo",
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"output_cost": 0.00000015
},
{
"label": "open-mistral-7b",
"name": "open-mistral-7b",
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"output_cost": 0.00000025
},
{
"label": "mistral-tiny-2312",
"name": "mistral-tiny-2312",
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"output_cost": 0.0000007
},
{
"label": "mistral-tiny",
"name": "mistral-tiny",
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"output_cost": 0.0000007
},
{
"label": "open-mixtral-8x7b",
"name": "open-mixtral-8x7b",
"input_cost": 0.0000007,
"output_cost": 0.0000007
},
{
"label": "open-mixtral-8x22b",
"name": "open-mixtral-8x22b",
"input_cost": 0.000002,
"output_cost": 0.000006
},
{
"label": "mistral-small-2312",
"name": "mistral-small-2312",
"input_cost": 0.0000001,
"output_cost": 0.0000003
},
{
"label": "mistral-small",
"name": "mistral-small",
"input_cost": 0.0000001,
"output_cost": 0.0000003
},
{
"label": "mistral-small-2402",
"name": "mistral-small-2402",
"input_cost": 0.0000001,
"output_cost": 0.0000003
},
{
"label": "mistral-small-latest",
"name": "mistral-small-latest",
"input_cost": 0.0000001,
"output_cost": 0.0000003
},
{
"label": "mistral-medium-latest",
"name": "mistral-medium-latest",
"input_cost": 0.000001,
"output_cost": 0.000003
},
{
"label": "mistral-medium-2312",
"name": "mistral-medium-2312",
"input_cost": 0.000001,
"output_cost": 0.000003
},
{
"label": "mistral-medium",
"name": "mistral-medium",
"input_cost": 0.000001,
"output_cost": 0.000003
},
{
"label": "mistral-large-latest",
"name": "mistral-large-latest",
"input_cost": 0.000002,
"output_cost": 0.000006
},
{
"label": "mistral-large-2402",
"name": "mistral-large-2402",
"input_cost": 0.000002,
"output_cost": 0.000006
},
{
"label": "codestral-latest",
"name": "codestral-latest",
"input_cost": 0.0000002,
"output_cost": 0.0000006
},
{
"label": "devstral-small-2505",
"name": "devstral-small-2505",
"input_cost": 0.0000001,
"output_cost": 0.0000003
}
]
},
{
"name": "chatMistral_LlamaIndex",
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{
"label": "mistral-tiny",
"name": "mistral-tiny",
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"output_cost": 0.0007
},
{
"label": "mistral-small",
"name": "mistral-small",
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"output_cost": 0.0003
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{
"label": "mistral-medium",
"name": "mistral-medium",
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}
]
}
],
"llm": [
{
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{
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"name": "amazon.titan-tg1-large"
},
{
"label": "amazon.titan-e1t-medium",
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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}
],
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},
{
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},
{
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{
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{
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{
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},
{
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},
{
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"name": "ap-southeast-4"
},
{
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{
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{
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{
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{
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{
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{
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"name": "eu-central-1"
},
{
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"name": "eu-central-2"
},
{
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"name": "eu-north-1"
},
{
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"name": "eu-south-1"
},
{
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"name": "eu-south-2"
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{
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"name": "eu-west-1"
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{
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"name": "eu-west-2"
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{
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"name": "eu-west-3"
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{
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"name": "il-central-1"
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{
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{
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{
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{
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{
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"name": "us-west-1"
},
{
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"name": "us-west-2"
}
]
},
{
"name": "azureOpenAI",
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},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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},
{
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},
{
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{
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},
{
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"output_cost": 0.00001
}
]
},
{
"name": "cohere",
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{
"label": "command",
"name": "command"
},
{
"label": "command-light",
"name": "command-light"
},
{
"label": "command-nightly",
"name": "command-nightly"
},
{
"label": "command-light-nightly",
"name": "command-light-nightly"
},
{
"label": "base",
"name": "base"
},
{
"label": "base-light",
"name": "base-light"
}
]
},
{
"name": "googlevertexai",
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{
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"name": "text-bison",
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"output_cost": 0.0000005
},
{
"label": "code-bison",
"name": "code-bison",
"input_cost": 0.00000025,
"output_cost": 0.0000005
},
{
"label": "code-gecko",
"name": "code-gecko",
"input_cost": 0.00000025,
"output_cost": 0.0000005
},
{
"label": "text-bison-32k",
"name": "text-bison-32k",
"input_cost": 0.00000025,
"output_cost": 0.0000005
},
{
"label": "code-bison-32k",
"name": "code-bison-32k",
"input_cost": 0.00000025,
"output_cost": 0.0000005
},
{
"label": "code-gecko-32k",
"name": "code-gecko-32k",
"input_cost": 0.00000025,
"output_cost": 0.0000005
}
]
},
{
"name": "openAI",
"models": [
{
"label": "gpt-3.5-turbo-instruct",
"name": "gpt-3.5-turbo-instruct",
"input_cost": 0.0000015,
"output_cost": 0.000002
},
{
"label": "babbage-002",
"name": "babbage-002",
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"output_cost": 0.0000016
},
{
"label": "davinci-002",
"name": "davinci-002",
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"output_cost": 0.000012
}
]
}
],
"embedding": [
{
"name": "openAIEmbeddings",
"models": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
]
},
{
"name": "openAIEmbedding_LlamaIndex",
"models": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
]
},
{
"name": "baiduQianfanEmbeddings",
"models": [
{
"label": "Embedding-V1",
"name": "Embedding-V1"
},
{
"label": "bge-large-zh",
"name": "bge-large-zh"
},
{
"label": "bge-large-en",
"name": "bge-large-en"
},
{
"label": "tao-8k",
"name": "tao-8k"
}
]
},
{
"name": "mistralAIEmbeddings",
"models": [
{
"label": "mistral-embed",
"name": "mistral-embed"
}
]
},
{
"name": "voyageAIEmbeddings",
"models": [
{
"label": "voyage-3",
"name": "voyage-3",
"description": "High-performance embedding model with excellent retrieval quality, 32K token context, and 1024 dimension size."
},
{
"label": "voyage-3-lite",
"name": "voyage-3-lite",
"description": "Lightweight embedding model optimized for low latency and cost, 32K token context, and 512 dimension size."
},
{
"label": "voyage-2",
"name": "voyage-2",
"description": "General-purpose embedding model optimized for a balance between cost, latency, and retrieval quality."
},
{
"label": "voyage-code-2",
"name": "voyage-code-2",
"description": "Optimized for code retrieval."
},
{
"label": "voyage-finance-2",
"name": "voyage-finance-2",
"description": "Optimized for finance retrieval and RAG."
},
{
"label": "voyage-large-2",
"name": "voyage-large-2",
"description": "General-purpose embedding model that is optimized for retrieval quality."
},
{
"label": "voyage-large-2-instruct",
"name": "voyage-large-2-instruct",
"description": "Instruction-tuned general-purpose embedding model optimized for clustering, classification, and retrieval."
},
{
"label": "voyage-law-2",
"name": "voyage-law-2",
"description": "Optimized for legal and long-context retrieval and RAG. Also improved performance across all domains."
},
{
"label": "voyage-lite-02-instruct",
"name": "voyage-lite-02-instruct",
"description": "Instruction-tuned for classification, clustering, and sentence textual similarity tasks"
},
{
"label": "voyage-multilingual-2",
"name": "voyage-multilingual-2",
"description": "Optimized for multilingual retrieval and RAG."
}
]
},
{
"name": "googlevertexaiEmbeddings",
"models": [
{
"label": "gemini-embedding-001",
"name": "gemini-embedding-001"
},
{
"label": "text-embedding-004",
"name": "text-embedding-004"
},
{
"label": "text-embedding-005",
"name": "text-embedding-005"
},
{
"label": "text-multilingual-embedding-002",
"name": "text-multilingual-embedding-002"
}
],
"regions": [
{
"label": "us-east1",
"name": "us-east1"
},
{
"label": "us-east4",
"name": "us-east4"
},
{
"label": "us-central1",
"name": "us-central1"
},
{
"label": "us-west1",
"name": "us-west1"
},
{
"label": "europe-west4",
"name": "europe-west4"
},
{
"label": "europe-west1",
"name": "europe-west1"
},
{
"label": "europe-west3",
"name": "europe-west3"
},
{
"label": "europe-west2",
"name": "europe-west2"
},
{
"label": "asia-east1",
"name": "asia-east1"
},
{
"label": "asia-southeast1",
"name": "asia-southeast1"
},
{
"label": "asia-northeast1",
"name": "asia-northeast1"
},
{
"label": "asia-south1",
"name": "asia-south1"
},
{
"label": "australia-southeast1",
"name": "australia-southeast1"
},
{
"label": "southamerica-east1",
"name": "southamerica-east1"
},
{
"label": "africa-south1",
"name": "africa-south1"
},
{
"label": "asia-east2",
"name": "asia-east2"
},
{
"label": "asia-northeast2",
"name": "asia-northeast2"
},
{
"label": "asia-northeast3",
"name": "asia-northeast3"
},
{
"label": "asia-south2",
"name": "asia-south2"
},
{
"label": "asia-southeast2",
"name": "asia-southeast2"
},
{
"label": "australia-southeast2",
"name": "australia-southeast2"
},
{
"label": "europe-central2",
"name": "europe-central2"
},
{
"label": "europe-north1",
"name": "europe-north1"
},
{
"label": "europe-north2",
"name": "europe-north2"
},
{
"label": "europe-southwest1",
"name": "europe-southwest1"
},
{
"label": "europe-west10",
"name": "europe-west10"
},
{
"label": "europe-west12",
"name": "europe-west12"
},
{
"label": "europe-west6",
"name": "europe-west6"
},
{
"label": "europe-west8",
"name": "europe-west8"
},
{
"label": "europe-west9",
"name": "europe-west9"
},
{
"label": "me-central1",
"name": "me-central1"
},
{
"label": "me-central2",
"name": "me-central2"
},
{
"label": "me-west1",
"name": "me-west1"
},
{
"label": "northamerica-northeast1",
"name": "northamerica-northeast1"
},
{
"label": "northamerica-northeast2",
"name": "northamerica-northeast2"
},
{
"label": "northamerica-south1",
"name": "northamerica-south1"
},
{
"label": "southamerica-west1",
"name": "southamerica-west1"
},
{
"label": "us-east5",
"name": "us-east5"
},
{
"label": "us-south1",
"name": "us-south1"
},
{
"label": "us-west2",
"name": "us-west2"
},
{
"label": "us-west3",
"name": "us-west3"
},
{
"label": "us-west4",
"name": "us-west4"
}
]
},
{
"name": "googleGenerativeAiEmbeddings",
"models": [
{
"label": "gemini-embedding-001",
"name": "gemini-embedding-001"
}
]
},
{
"name": "cohereEmbeddings",
"models": [
{
"label": "embed-english-v3.0",
"name": "embed-english-v3.0",
"description": "Embedding Dimensions: 1024"
},
{
"label": "embed-english-light-v3.0",
"name": "embed-english-light-v3.0",
"description": "Embedding Dimensions: 384"
},
{
"label": "embed-multilingual-v3.0",
"name": "embed-multilingual-v3.0",
"description": "Embedding Dimensions: 1024"
},
{
"label": "embed-multilingual-light-v3.0",
"name": "embed-multilingual-light-v3.0",
"description": "Embedding Dimensions: 384"
},
{
"label": "embed-english-v2.0",
"name": "embed-english-v2.0",
"description": "Embedding Dimensions: 4096"
},
{
"label": "embed-english-light-v2.0",
"name": "embed-english-light-v2.0",
"description": "Embedding Dimensions: 1024"
},
{
"label": "embed-multilingual-v2.0",
"name": "embed-multilingual-v2.0",
"description": "Embedding Dimensions: 768"
}
]
},
{
"name": "AWSBedrockEmbeddings",
"models": [
{
"label": "amazon.titan-embed-text-v1",
"name": "amazon.titan-embed-text-v1",
"description": "Amazon Titan Text Embeddings V1 - Dimensions: 1536"
},
{
"label": "amazon.titan-embed-text-v2:0",
"name": "amazon.titan-embed-text-v2:0",
"description": "Amazon Titan Text Embeddings V2 - Dimensions: 1024"
},
{
"label": "amazon.titan-embed-g1-text-02",
"name": "amazon.titan-embed-g1-text-02",
"description": "Amazon Titan Text Embeddings G1 - Dimensions: 1536"
},
{
"label": "amazon.titan-embed-image-v1",
"name": "amazon.titan-embed-image-v1",
"description": "Amazon Titan Multimodal Embeddings G1 - Text and Image"
},
{
"label": "amazon.nova-2-multimodal-embeddings-v1:0",
"name": "amazon.nova-2-multimodal-embeddings-v1:0",
"description": "Amazon Nova 2 Multimodal Embeddings - Text, Image, Audio, Video"
},
{
"label": "cohere.embed-english-v3",
"name": "cohere.embed-english-v3",
"description": "Cohere Embed English V3 - Dimensions: 1024"
},
{
"label": "cohere.embed-multilingual-v3",
"name": "cohere.embed-multilingual-v3",
"description": "Cohere Embed Multilingual V3 - Dimensions: 1024"
},
{
"label": "cohere.embed-v4:0",
"name": "cohere.embed-v4:0",
"description": "Cohere Embed V4 - Multimodal (text, image)"
},
{
"label": "twelvelabs.marengo-embed-2-7-v1:0",
"name": "twelvelabs.marengo-embed-2-7-v1:0",
"description": "TwelveLabs Marengo Embed 2.7 - Video embeddings"
},
{
"label": "twelvelabs.marengo-embed-3-0-v1:0",
"name": "twelvelabs.marengo-embed-3-0-v1:0",
"description": "TwelveLabs Marengo Embed 3.0 - Video embeddings"
}
],
"regions": [
{
"label": "ap-northeast-1",
"name": "ap-northeast-1"
},
{
"label": "ap-northeast-2",
"name": "ap-northeast-2"
},
{
"label": "ap-northeast-3",
"name": "ap-northeast-3"
},
{
"label": "ap-south-1",
"name": "ap-south-1"
},
{
"label": "ap-south-2",
"name": "ap-south-2"
},
{
"label": "ap-southeast-1",
"name": "ap-southeast-1"
},
{
"label": "ap-southeast-2",
"name": "ap-southeast-2"
},
{
"label": "ap-southeast-3",
"name": "ap-southeast-3"
},
{
"label": "ap-southeast-4",
"name": "ap-southeast-4"
},
{
"label": "ca-central-1",
"name": "ca-central-1"
},
{
"label": "eu-central-1",
"name": "eu-central-1"
},
{
"label": "eu-central-2",
"name": "eu-central-2"
},
{
"label": "eu-north-1",
"name": "eu-north-1"
},
{
"label": "eu-south-1",
"name": "eu-south-1"
},
{
"label": "eu-south-2",
"name": "eu-south-2"
},
{
"label": "eu-west-1",
"name": "eu-west-1"
},
{
"label": "eu-west-2",
"name": "eu-west-2"
},
{
"label": "eu-west-3",
"name": "eu-west-3"
},
{
"label": "sa-east-1",
"name": "sa-east-1"
},
{
"label": "us-east-1",
"name": "us-east-1"
},
{
"label": "us-east-2",
"name": "us-east-2"
},
{
"label": "us-gov-east-1",
"name": "us-gov-east-1"
},
{
"label": "us-gov-west-1",
"name": "us-gov-west-1"
},
{
"label": "us-west-1",
"name": "us-west-1"
},
{
"label": "us-west-2",
"name": "us-west-2"
}
]
}
]
}
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