Skip to content
ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V3.1 Terminus and Mistral Large 3 2512, 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

DeepSeek V3.1 Terminus vs Mistral Large 3 2512

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V3.1 Terminus and Mistral Large 3 2512
Field
ModelCap position#58#55
Index score55.356.5
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.27$0.50
Output / 1M$1.00$1.50
Pricing statusfreshfresh
Context164K262K
Providers41
Weight accessOpen weightsAPI only

Decision facts

  • DeepSeek V3.1 Terminus is #58; Mistral Large 3 2512 is #55 on the same current language board.
  • Index scores are 55.3 for DeepSeek V3.1 Terminus and 56.5 for Mistral Large 3 2512. 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 $1.00 for DeepSeek V3.1 Terminus and $1.50 for Mistral Large 3 2512. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.04 for DeepSeek V3.1 Terminus versus $1.75 for Mistral Large 3 2512. DeepSeek V3.1 Terminus costs 40.6% 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 163,840 tokens for DeepSeek V3.1 Terminus and 262,144 for Mistral Large 3 2512.
  • Weight access differs: DeepSeek V3.1 Terminus is open; Mistral Large 3 2512 is none.
  • ModelCap currently lists 4 providers for DeepSeek V3.1 Terminus and 1 for Mistral Large 3 2512.

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.