"Parse document with LLM" listed cost is inconsistent #548

Open
opened 2026-02-16 00:18:13 -05:00 by yindo · 1 comment
Owner

Originally created by @bmeisburger on GitHub (Oct 2, 2025).

Describe the bug
After testing several parsing models in the web UI sandbox, "Parse document with LLM" seemed to give me the best performance. The web UI advertises the cost as 3 credits/page. After running subsequently evals across several hundred pages, I was extremely confused why my credit usage was 10x higher than anticipated.

As it turns out, the "general" docs (https://developers.llamaindex.ai/python/cloud/general/pricing/) includes a pricing page (notably absent in the parsing docs) that lists "Parse document with LLM" as 30(!) credits/page. This is exacerbated by #938, which means that credit usage is/was not accurately reported in the response metadata, either.

Frustrating to have burnt through $50 of credits, and still need to spend hours repeating the evals with an entirely different model.

Originally created by @bmeisburger on GitHub (Oct 2, 2025). **Describe the bug** After testing several parsing models in the web UI sandbox, "Parse document with LLM" seemed to give me the best performance. The web UI advertises the cost as 3 credits/page. After running subsequently evals across several hundred pages, I was extremely confused why my credit usage was 10x higher than anticipated. As it turns out, the "general" docs (https://developers.llamaindex.ai/python/cloud/general/pricing/) includes a pricing page (notably absent in the parsing docs) that lists "Parse document with LLM" as 30(!) credits/page. This is exacerbated by [#938](https://github.com/run-llama/llama_cloud_services/issues/938), which means that credit usage is/was not accurately reported in the response metadata, either. Frustrating to have burnt through $50 of credits, and still need to spend hours repeating the evals with an entirely different model.
yindo added the bug label 2026-02-16 00:18:13 -05:00
Author
Owner

@Disiok commented on GitHub (Oct 2, 2025):

Hey @bmeisburger , apologies for the confusion, totally on us and we need to do better.

We will reach out to grant you additional credits to compensate for the effort/

@Disiok commented on GitHub (Oct 2, 2025): Hey @bmeisburger , apologies for the confusion, totally on us and we need to do better. We will reach out to grant you additional credits to compensate for the effort/
Sign in to join this conversation.
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: run-llama/llama_cloud_services#548