ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large vs Claude Haiku 3.5

Too close to call on our weighted score (Claude Haiku 3.5 46, Mistral Large 44). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    44/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
    Full specs Remove Mistral Large

  2. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    46/100
    • ECI127.0
    • Price$0.80 / $4.00
    • Context200K
    Full specs Remove Claude Haiku 3.5

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and Mistral Large on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 3.5Capabilities Index (ECI): Claude Haiku 3.5 127.0 · Mistral Large 122.0
  • Lowest priceMistral LargeMistral Large $0.75 · Claude Haiku 3.5 $1.60 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 128,000 tokens
  • Widest inputsClaude Haiku 3.5Mistral Large: Text, PDFs · Claude Haiku 3.5: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMistral LargeClaude Haiku 3.5
CapabilityCapabilities Index (ECI)50%4248
Price25%5338
Inputs & features15%4560
Context window10%2432
Overall100%44/10046/100
02 — Side by side

Every spec in one table

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

Mistral Large vs Claude Haiku 3.5 specifications side by side
SpecificationMistral LargeMistral AIClaude Haiku 3.5Anthropic
Capability
Capabilities Index (ECI)122.0127.0 (best)
ECI rank#153 of 165#147 of 165 (best)
GPQA DiamondGraduate-level science questions38.8% (best)38.1%
OTIS Mock AIME 2024–2025Competition mathematics1.9%4.3% (best)
Price per million tokens
Input$0.50 (best)$0.80
Output$1.50 (best)$4.00
Cached input$0.05—
Blended (3:1)$0.75 (best)$1.60
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 3 providers
Limits
Context window128,000 tokens200,000 tokens (best)
Max output102,400 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsYesYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryProprietary
API model IDmistral-large-latest—
API providers11 (best)4
ReleasedFeb 26, 2024Oct 22, 2024
Knowledge cutoffNov 30, 2024Jul 31, 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.

  • Mistral Large$8.00
  • Claude Haiku 3.5$16.00
04 — Questions

Which should you choose?

Which is better: Mistral Large or Claude Haiku 3.5?

It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and Mistral Large on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large or Claude Haiku 3.5?

Mistral Large is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Claude Haiku 3.5 costs $0.80 input / $4.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large versus $1.60 for Claude Haiku 3.5 (2.1× as much).

Which scores higher on benchmarks?

Claude Haiku 3.5 scores higher on the Capabilities Index (ECI): Claude Haiku 3.5 127.0 (#147 of 165) and Mistral Large 122.0 (#153 of 165). The confidence ranges of the top two overlap (121.4–129.2 vs 115.7–124.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Claude Haiku 3.5 4.3%, Mistral Large 1.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large and Claude Haiku 3.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3.5 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?

Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Mistral Large. Maximum output per response: Mistral Large up to 102,400, Claude Haiku 3.5 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Mistral Large accepts text and PDFs; Claude Haiku 3.5 accepts text, images and PDFs. Claude Haiku 3.5 handles the widest range of inputs.

Are any of these open source?

No. Mistral Large and Claude Haiku 3.5 are proprietary and only available through APIs and apps.

Which is newer?

Claude Haiku 3.5 is the newest, released Oct 22, 2024. Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Claude Haiku 3.5 Jul 31, 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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