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ModelCap

Model decision surface

Compare AI models

Start with Mistral Large 4 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 4 vs Mistral Medium 3.5

Live dataset updated 10/11/2026, 3:39:45 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Mistral Large 4 and Mistral Medium 3.5
Field
Mistral Large 4

Mistral AI

ModelCap position#62#73
Index score63.160.8
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.68$1.50
Output / 1M$2.09$7.50
Pricing statusfreshfresh
Context1M262K
Providers11
Weight accessNo linked weightsNo linked weights

Decision facts

  • Mistral Large 4 is #62; Mistral Medium 3.5 is #73 on the same current language board.
  • Index scores are 63.1 for Mistral Large 4 and 60.8 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 $2.09 for Mistral Large 4 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 $2.40 for Mistral Large 4 versus $6.75 for Mistral Medium 3.5. Mistral Large 4 costs 64.4% 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 1,048,576 tokens for Mistral Large 4 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.