ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 4 vs Claude Sonnet 5.5

Claude Sonnet 5.5 comes out ahead, 72 to 67 on our weighted score, though Mistral Large 4 is 3.8× cheaper per token.

  1. Mistral AI

    Mistral Large 4

    Released Oct 6, 2026NewBeta

    67/100
    • ECI150.6
    • Price$0.70 / $2.10
    • Context1.05M
    Full specs Remove Mistral Large 4
  2. Our pick

    Anthropic

    Claude Sonnet 5.5

    Released Sep 28, 2026New

    72/100
    • ECI166.7
    • Price$2.00 / $10.00
    • Context1M
    Full specs Remove Claude Sonnet 5.5

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Sonnet 5.5 is our pick

Claude Sonnet 5.5 is the better all-round choice, scoring 72/100 against Mistral Large 4 (67). It leads on capability and inputs & features. Mistral Large 4 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Sonnet 5.5Capabilities Index (ECI): Claude Sonnet 5.5 166.7 · Mistral Large 4 150.6
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · Claude Sonnet 5.5 $4.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 4Mistral Large 4 1,048,576 · Claude Sonnet 5.5 1,000,000 tokens
  • Widest inputsClaude Sonnet 5.5Mistral Large 4: Text, Images · Claude Sonnet 5.5: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMistral Large 4Claude Sonnet 5.5
CapabilityCapabilities Index (ECI)50%7797
Price25%4720
Inputs & features15%7080
Context window10%6160
Overall100%67/10072/100
02 — Side by side

Every spec in one table

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

Mistral Large 4 vs Claude Sonnet 5.5 specifications side by side
SpecificationMistral Large 4Mistral AIClaude Sonnet 5.5Anthropic
Capability
Capabilities Index (ECI)150.6166.7 (best)
ECI rank#57 of 165#5 of 165 (best)
GPQA DiamondGraduate-level science questions88.1%95.6% (best)
FrontierMath Tiers 1–3Research-level mathematics58.6%88.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.3%100% (best)
SimpleQA VerifiedShort factual questions20.0%46.5% (best)
Price per million tokens
Input$0.70 (best)$2.00
Output$2.10 (best)$10.00
Cached input$0.07 (best)$0.10
Blended (3:1)$1.05 (best)$4.00
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Anthropic API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output262,144 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · highYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmistral-large-4claude-sonnet-5-5
API providers1534 (best)
ReleasedOct 6, 2026Sep 28, 2026
Knowledge cutoff—Jun 2026
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.

  • Mistral Large 4$11.20
  • Claude Sonnet 5.5$40.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 4 or Claude Sonnet 5.5?

Claude Sonnet 5.5 is the better all-round choice, scoring 72/100 against Mistral Large 4 (67). It leads on capability and inputs & features. Mistral Large 4 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 4 or Claude Sonnet 5.5?

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Claude Sonnet 5.5 costs $2.00 input / $10.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for Mistral Large 4 versus $4.00 for Claude Sonnet 5.5 (3.8× as much).

Which scores higher on benchmarks?

Claude Sonnet 5.5 scores higher on the Capabilities Index (ECI): Claude Sonnet 5.5 166.7 (#5 of 165) and Mistral Large 4 150.6 (#57 of 165). Their confidence ranges do not overlap (163.6–171.3 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Sonnet 5.5 95.6%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — Claude Sonnet 5.5 88.8%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — Claude Sonnet 5.5 100%, Mistral Large 4 98.3%; SimpleQA Verified — Claude Sonnet 5.5 46.5%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 4 and Claude Sonnet 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 5.5 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large 4 has the largest context window at 1,048,576 tokens, against 1,000,000 for Claude Sonnet 5.5. Maximum output per response: Mistral Large 4 up to 262,144, Claude Sonnet 5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 4 accepts text and images; Claude Sonnet 5.5 accepts text, images and PDFs. Claude Sonnet 5.5 handles the widest range of inputs.

Are any of these open source?

No. Mistral Large 4 and Claude Sonnet 5.5 are proprietary and only available through APIs and apps.

Which is newer?

Mistral Large 4 is the newest, released Oct 6, 2026. Claude Sonnet 5.5 came out Sep 28, 2026. Knowledge cutoff: Claude Sonnet 5.5 Jun 2026.

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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