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ModelCap

Model decision surface

Compare AI models

Start with Mistral Large 3 2512 and Mistral Medium 3.5, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

Current public data

Mistral Large 3 2512 vs Mistral Medium 3.5

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Mistral Large 3 2512 and Mistral Medium 3.5
Field
ModelCap position#72#63
Index score60.962.6
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured4 public benchmark observations across 4 boards
Input / 1M$0.25$1.50
Output / 1M$0.75$7.50
Pricing statusfreshfresh
Context262K262K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Mistral Large 3 2512 is #72; Mistral Medium 3.5 is #63 on the same current language board.
  • Index scores are 60.9 for Mistral Large 3 2512 and 62.6 for Mistral Medium 3.5. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.75 for Mistral Large 3 2512 and $7.50 for Mistral Medium 3.5. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.88 for Mistral Large 3 2512 versus $6.75 for Mistral Medium 3.5. Mistral Large 3 2512 costs 87.0% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 262,144 tokens for Mistral Large 3 2512 and 262,144 for Mistral Medium 3.5.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.