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ModelCap

Model decision surface

Compare AI models

Start with Mistral Medium 3.5 and Mixtral 8x22B Instruct, 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 Medium 3.5 vs Mixtral 8x22B Instruct

Live dataset updated 11/7/2026, 2:00:08 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Mistral Medium 3.5 and Mixtral 8x22B Instruct
Field
ModelCap position#79#300
Index score61.315.4
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$1.50$2.00
Output / 1M$7.50$6.00
Pricing statusfreshfresh
Context262K66K
Providers11
Weight accessNo linked weightsOpen weights

Decision facts

  • Mistral Medium 3.5 is #79; Mixtral 8x22B Instruct is #300 on the same current language board.
  • Index scores are 61.3 for Mistral Medium 3.5 and 15.4 for Mixtral 8x22B Instruct. 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 $7.50 for Mistral Medium 3.5 and $6.00 for Mixtral 8x22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $6.75 for Mistral Medium 3.5 versus $7.00 for Mixtral 8x22B Instruct. Mistral Medium 3.5 costs 3.6% 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 Medium 3.5 and 65,536 for Mixtral 8x22B Instruct.
  • Weight access differs: Mistral Medium 3.5 is none; Mixtral 8x22B Instruct is open.

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.