ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 4 vs Claude Opus 5.5

Too close to call on our weighted score (Claude Opus 5.5 69, Mistral Large 4 67). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large 4

    Released Oct 6, 2026Beta

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

  2. Anthropic

    Claude Opus 5.5

    Released Sep 22, 2026

    69/100
    • ECI168.4
    • Price$4.00 / $20.00
    • Context1M
    Full specs Remove Claude Opus 5.5

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Claude Opus 5.5 69/100, Mistral Large 4 67/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability, Mistral Large 4 on price and Mistral Large 4 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 5.5Capabilities Index (ECI): Claude Opus 5.5 168.4 · Mistral Large 4 150.6
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · Claude Opus 5.5 $8.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 4Mistral Large 4 1,048,576 · Claude Opus 5.5 1,000,000 tokens
  • Widest inputsClaude Opus 5.5Mistral Large 4: Text, Images · Claude Opus 5.5: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMistral Large 4Claude Opus 5.5
CapabilityCapabilities Index (ECI)50%7799
Price25%477
Inputs & features15%7080
Context window10%6160
Overall100%67/10069/100
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 Opus 5.5 specifications side by side
SpecificationMistral Large 4Mistral AIClaude Opus 5.5Anthropic
Capability
Capabilities Index (ECI)150.6168.4 (best)
ECI rank#57 of 165#2 of 165 (best)
GPQA DiamondGraduate-level science questions88.1%90.6% (best)
FrontierMath Tiers 1–3Research-level mathematics58.6%91.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.3%100% (best)
SimpleQA VerifiedShort factual questions20.0%72.2% (best)
Price per million tokens
Input$0.70 (best)$4.00
Output$2.10 (best)$20.00
Cached input$0.07 (best)$0.20
Blended (3:1)$1.05 (best)$8.00
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-opus-5-5
API providers1536 (best)
ReleasedOct 6, 2026Sep 22, 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 Opus 5.5$80.00
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within 2 points (Claude Opus 5.5 69/100, Mistral Large 4 67/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability, Mistral Large 4 on price and Mistral Large 4 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Claude Opus 5.5 costs $4.00 input / $20.00 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 $8.00 for Claude Opus 5.5 (7.6× as much).

Which scores higher on benchmarks?

Claude Opus 5.5 scores higher on the Capabilities Index (ECI): Claude Opus 5.5 168.4 (#2 of 165) and Mistral Large 4 150.6 (#57 of 165). Their confidence ranges do not overlap (165.4–173.0 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Opus 5.5 90.6%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — Claude Opus 5.5 91.2%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — Claude Opus 5.5 100%, Mistral Large 4 98.3%; SimpleQA Verified — Claude Opus 5.5 72.2%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 4 and Claude Opus 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 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 Opus 5.5. Maximum output per response: Mistral Large 4 up to 262,144, Claude Opus 5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

No. Mistral Large 4 and Claude Opus 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 Opus 5.5 came out Sep 22, 2026. Knowledge cutoff: Claude Opus 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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