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ModelCap

Model decision surface

Compare AI models

Start with Mistral Large 3 2512 and Mistral Small 3.2 24B, 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 Small 3.2 24B

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 Small 3.2 24B
Field
ModelCap position#72#133
Index score60.941.9
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.25$0.094
Output / 1M$0.75$0.25
Pricing statusfreshfresh
Context262K256K
Providers13
Weight accessAPI onlyOpen weights

Decision facts

  • Mistral Large 3 2512 is #72; Mistral Small 3.2 24B is #133 on the same current language board.
  • Index scores are 60.9 for Mistral Large 3 2512 and 41.9 for Mistral Small 3.2 24B. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.75 for Mistral Large 3 2512 and $0.25 for Mistral Small 3.2 24B. 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 $0.31 for Mistral Small 3.2 24B. Mistral Small 3.2 24B costs 64.3% 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 256,000 for Mistral Small 3.2 24B.
  • Weight access differs: Mistral Large 3 2512 is none; Mistral Small 3.2 24B is open.
  • ModelCap currently lists 1 providers for Mistral Large 3 2512 and 3 for Mistral Small 3.2 24B.

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.