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benchmark: remove GLM-ASR (community model, speed needs verification)

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游雁
2026-05-23 19:11:22 +08:00
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## Benchmark: Comprehensive ASR Comparison (NVIDIA H100)
> 8 models on GPU, 3 models on CPU. 184 long-form Chinese audio files (192 min total). [Full report](https://modelscope.github.io/FunASR/benchmark.html)
> 7 models on GPU, 3 models on CPU. 184 long-form Chinese audio files (192 min total). [Full report](https://modelscope.github.io/FunASR/benchmark.html)
### GPU Results
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| **SenseVoice-Small** | NAR | **170x** realtime | **8.92%** | Fastest + most accurate |
| **Paraformer-Large** | NAR | **120x** realtime | 12.71% | Best speed/accuracy tradeoff |
| Whisper-large-v3-turbo (OpenAI) | AR | 46x realtime | 21.71% | Fastest Whisper variant |
| **GLM-ASR-Nano** | LLM | 37x realtime | 31.07% | Multi-language LLM-based |
| Whisper-large-v3-turbo (FunASR) | AR | 26x realtime | 22.70% | With VAD pipeline |
| faster-whisper-large-v3 | AR | 21.5x realtime | 17.00% | CTranslate2 optimized |
| **Fun-ASR-Nano** | LLM | 17x realtime | 10.56% | Best LLM-based accuracy |