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Comparison · 3 models · Updated Nov 2, 2026

GPT-4o vs Mistral Large 2.1 vs Claude Sonnet 3.5 v2

Too close to call on our weighted score (Claude Sonnet 3.5 v2 44, GPT-4o 43, Mistral Large 2.1 38). The right pick depends on what you value most.

  1. OpenAI

    GPT-4o

    Released May 13, 2024

    43/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove GPT-4o

  2. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    38/100
    • ECI128.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1

  3. Anthropic

    Claude Sonnet 3.5 v2

    Released Oct 22, 2024

    44/100
    • ECI133.4
    • Price$2.80 / $14.00
    • Context200K
    Full specs Remove Claude Sonnet 3.5 v2
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Mistral Large 2.1 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Sonnet 3.5 v2Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 · GPT-4o 129.0 · Mistral Large 2.1 128.6
  • Lowest priceMistral Large 2.1Mistral Large 2.1 $3.00 · GPT-4o $4.38 · Claude Sonnet 3.5 v2 $5.60 per 1M tokens (3:1 blend)
  • Longest contextClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 200,000 · Mistral Large 2.1 131,072 · GPT-4o 128,000 tokens
  • Widest inputsGPT-4o and Claude Sonnet 3.5 v2GPT-4o: Text, Images, PDFs · Mistral Large 2.1: Text · Claude Sonnet 3.5 v2: Text, Images, PDFs
  • Self-hostingMistral Large 2.1Publishes downloadable weights
How the score is built
MeasureWeightGPT-4oMistral Large 2.1Claude Sonnet 3.5 v2
CapabilityCapabilities Index (ECI)50%515056
Price25%192614
Inputs & features15%702560
Context window10%242532
Overall100%43/10038/10044/100
02 — Side by side

Every spec in one table

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

GPT-4o vs Mistral Large 2.1 vs Claude Sonnet 3.5 v2 specifications side by side
SpecificationGPT-4oOpenAIMistral Large 2.1Mistral AIClaude Sonnet 3.5 v2Anthropic
Capability
Capabilities Index (ECI)129.0128.6133.4 (best)
ECI rank#141 of 165#142 of 165#133 of 165 (best)
GPQA DiamondGraduate-level science questions48.9%51.3%55.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics6.3%7.8%8.5% (best)
Price per million tokens
Input$2.50$2.00 (best)$2.80
Output$10.00$6.00 (best)$14.00
Cached input$1.25——
Blended (3:1)$4.38$3.00 (best)$5.60
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIMedian of 2 providersMedian of 2 providers
Limits
Context window128,000 tokens131,072 tokens200,000 tokens (best)
Max output16,384 tokens (best)16,384 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-4o——
API providers26 (best)23
ReleasedMay 13, 2024Nov 18, 2024Oct 22, 2024
Knowledge cutoffSep 2023Nov 2024Apr 30, 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-4o$45.00
  • Mistral Large 2.1$32.00
  • Claude Sonnet 3.5 v2$56.00
04 — Questions

Which should you choose?

Which is better: GPT-4o, Mistral Large 2.1 or Claude Sonnet 3.5 v2?

It is close. Our weighted score puts them within a point (Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Mistral Large 2.1 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4o, Mistral Large 2.1 or Claude Sonnet 3.5 v2?

Mistral Large 2.1 is cheaper at $2.00 input / $6.00 output per million tokens (median across 2 API providers). GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price); Claude Sonnet 3.5 v2 costs $2.80 input / $14.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Large 2.1 versus $4.38 for GPT-4o (1.5× as much) and $5.60 for Claude Sonnet 3.5 v2 (1.9× as much).

Which scores higher on benchmarks?

Claude Sonnet 3.5 v2 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 (#133 of 165), GPT-4o 129.0 (#141 of 165) and Mistral Large 2.1 128.6 (#142 of 165). The confidence ranges of the top two overlap (128.5–137.7 vs 124.7–131.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.5 v2 55.3%, Mistral Large 2.1 51.3%, GPT-4o 48.9%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.5 v2 8.5%, Mistral Large 2.1 7.8%, GPT-4o 6.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o, Mistral Large 2.1 and Claude Sonnet 3.5 v2 yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.5 v2 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Sonnet 3.5 v2 has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2.1 and 128,000 for GPT-4o. Maximum output per response: GPT-4o up to 16,384, Mistral Large 2.1 up to 16,384, Claude Sonnet 3.5 v2 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

GPT-4o accepts text, images and PDFs; Mistral Large 2.1 accepts text; Claude Sonnet 3.5 v2 accepts text, images and PDFs. GPT-4o handles the widest range of inputs.

Are any of these open source?

Mistral Large 2.1 publishes its weights and can be self-hosted; GPT-4o and Claude Sonnet 3.5 v2 is proprietary.

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Claude Sonnet 3.5 v2 came out Oct 22, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023, Mistral Large 2.1 Nov 2024, Claude Sonnet 3.5 v2 Apr 30, 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 Nov 2, 2026.

05 — Keep comparing

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