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Comparison · 2 models · Updated Oct 4, 2026

GPT-5.1 Chat vs Mistral Large 3

Mistral Large 3 comes out ahead, 50 to 38 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.1 Chat

    Released Nov 13, 2025

    38/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove GPT-5.1 Chat
  2. Our pick

    Mistral AI

    Mistral Large 3

    Released Dec 2, 2025

    50/100
    • ECI—
    • Price$0.50 / $1.50
    • Context262K
    Full specs Remove Mistral Large 3

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Large 3 is our pick

Mistral Large 3 is the better all-round choice, scoring 50/100 against GPT-5.1 Chat (38). It leads on price and context window. GPT-5.1 Chat wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceMistral Large 3Mistral Large 3 $0.75 · GPT-5.1 Chat $3.44 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 3Mistral Large 3 262,144 · GPT-5.1 Chat 128,000 tokens
  • Widest inputsSame inputsGPT-5.1 Chat: Text, Images · Mistral Large 3: Text, Images
  • Self-hostingMistral Large 3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.1 ChatMistral Large 3
Price50%2456
Inputs & features30%7050
Context window20%2437
Overall100%38/10050/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GPT-5.1 Chat vs Mistral Large 3 specifications side by side
SpecificationGPT-5.1 ChatOpenAIMistral Large 3Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$1.25$0.50 (best)
Output$10.00$1.50 (best)
Cached input—$0.05
Blended (3:1)$3.44$0.75 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral API
Limits
Context window128,000 tokens262,144 tokens (best)
Max output16,384 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model ID—mistral-large-2512
API providers213 (best)
ReleasedNov 13, 2025Dec 2, 2025
Knowledge cutoffSep 30, 2024Nov 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GPT-5.1 Chat$32.50
  • Mistral Large 3$8.00
04 — Questions

Which should you choose?

Which is better: GPT-5.1 Chat or Mistral Large 3?

Mistral Large 3 is the better all-round choice, scoring 50/100 against GPT-5.1 Chat (38). It leads on price and context window. GPT-5.1 Chat wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, GPT-5.1 Chat or Mistral Large 3?

Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $3.44 for GPT-5.1 Chat (4.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GPT-5.1 Chat has not been scored yet and Mistral Large 3 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.1 Chat and Mistral Large 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large 3 has the largest context window at 262,144 tokens, against 128,000 for GPT-5.1 Chat. Maximum output per response: GPT-5.1 Chat up to 16,384, Mistral Large 3 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GPT-5.1 Chat accepts text and images; Mistral Large 3 accepts text and images. They handle the same number of input types.

Are any of these open source?

Mistral Large 3 publishes its weights and can be self-hosted; GPT-5.1 Chat is proprietary.

Which is newer?

Mistral Large 3 is the newest, released Dec 2, 2025. GPT-5.1 Chat came out Nov 13, 2025. Knowledge cutoff: GPT-5.1 Chat Sep 30, 2024, Mistral Large 3 Nov 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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