ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 2.1 vs Claude Haiku 5.5

Claude Haiku 5.5 comes out ahead, 83 to 38 on our weighted score, and it is the cheaper option too.

  1. 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
  2. Our pick

    Anthropic

    Claude Haiku 5.5

    Released Oct 7, 2026New

    83/100
    • ECI160.4
    • Price$0.10 / $0.50
    • Context1M
    Full specs Remove Claude Haiku 5.5

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 5.5 is our pick

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Mistral Large 2.1 (38). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 5.5Capabilities Index (ECI): Claude Haiku 5.5 160.4 · Mistral Large 2.1 128.6
  • Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 5.5Claude Haiku 5.5 1,000,000 · Mistral Large 2.1 131,072 tokens
  • Widest inputsClaude Haiku 5.5Mistral Large 2.1: Text · Claude Haiku 5.5: Text, Images, PDFs
  • Self-hostingMistral Large 2.1Publishes downloadable weights
How the score is built
MeasureWeightMistral Large 2.1Claude Haiku 5.5
CapabilityCapabilities Index (ECI)50%5089
Price25%2680
Inputs & features15%2580
Context window10%2560
Overall100%38/10083/100
02 — Side by side

Every spec in one table

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

Mistral Large 2.1 vs Claude Haiku 5.5 specifications side by side
SpecificationMistral Large 2.1Mistral AIClaude Haiku 5.5Anthropic
Capability
Capabilities Index (ECI)128.6160.4 (best)
ECI rank#142 of 165#14 of 165 (best)
GPQA DiamondGraduate-level science questions51.3%89.7% (best)
FrontierMath Tiers 1–3Research-level mathematics—75.1%
OTIS Mock AIME 2024–2025Competition mathematics7.8%98.9% (best)
SimpleQA VerifiedShort factual questions—23.8%
Price per million tokens
Input$2.00$0.10 (best)
Output$6.00$0.50 (best)
Cached input—$0.01
Blended (3:1)$3.00$0.20 (best)
Long-context rateSame rateOver 100K: $0.50 / $2.50
Price sourceMedian of 2 providersOfficial Anthropic API
Limits
Context window131,072 tokens1,000,000 tokens (best)
Max output16,384 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—claude-haiku-5-5
API providers233 (best)
ReleasedNov 18, 2024Oct 7, 2026
Knowledge cutoffNov 2024Jun 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 2.1$32.00
  • Claude Haiku 5.5$2.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 2.1 or Claude Haiku 5.5?

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Mistral Large 2.1 (38). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 2.1 or Claude Haiku 5.5?

Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Claude Haiku 5.5 versus $3.00 for Mistral Large 2.1 (15× as much).

Which scores higher on benchmarks?

Claude Haiku 5.5 scores higher on the Capabilities Index (ECI): Claude Haiku 5.5 160.4 (#14 of 165) and Mistral Large 2.1 128.6 (#142 of 165). Their confidence ranges do not overlap (157.3–163.8 vs 124.3–130.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 5.5 89.7%, Mistral Large 2.1 51.3%; OTIS Mock AIME 2024–2025 — Claude Haiku 5.5 98.9%, Mistral Large 2.1 7.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 2.1 and Claude Haiku 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 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?

Claude Haiku 5.5 has the largest context window at 1,000,000 tokens, against 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 2.1 up to 16,384, Claude Haiku 5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 2.1 accepts text; Claude Haiku 5.5 accepts text, images and PDFs. Claude Haiku 5.5 handles the widest range of inputs.

Are any of these open source?

Mistral Large 2.1 publishes its weights and can be self-hosted; Claude Haiku 5.5 is proprietary.

Which is newer?

Claude Haiku 5.5 is the newest, released Oct 7, 2026. Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Claude Haiku 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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