ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Large 2.1 vs Claude Haiku 3

Claude Haiku 3 comes out ahead, 47 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
    • ECI128.5
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1
  2. Our pick

    Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    47/100
    • ECI118.4
    • Price$0.25 / $1.25
    • Context200K
    Full specs Remove Claude Haiku 3

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 3 is our pick

Claude Haiku 3 is the better all-round choice, scoring 47/100 against Mistral Large 2.1 (38). It leads on price, inputs & features and context window. Mistral Large 2.1 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.5 · Claude Haiku 3 118.4
  • Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral Large 2.1 131,072 tokens
  • Widest inputsClaude Haiku 3Mistral Large 2.1: Text · Claude Haiku 3: Text, Images, PDFs
  • Self-hostingMistral Large 2.1Publishes downloadable weights
How the score is built
MeasureWeightMistral Large 2.1Claude Haiku 3
CapabilityCapabilities Index (ECI)50%5138
Price25%2764
Inputs & features15%2560
Context window10%2432
Overall100%38/10047/100
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 3 specifications side by side
SpecificationMistral Large 2.1Mistral AIClaude Haiku 3Anthropic
Capability
Capabilities Index (ECI)128.5 (best)118.4
ECI rank#130 of 148 (best)#143 of 148
GPQA DiamondGraduate-level science questions51.3% (best)36.3%
OTIS Mock AIME 2024–2025Competition mathematics7.8% (best)1.8%
Price per million tokens
Input$2.00$0.25 (best)
Output$6.00$1.25 (best)
Cached input——
Blended (3:1)$3.00$0.50 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 2 providers
Limits
Context window131,072 tokens200,000 tokens (best)
Max output16,384 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDmistral-large-2411—
API providers22
ReleasedNov 18, 2024Mar 13, 2024
Knowledge cutoffNov 2024Aug 31, 2023
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 3$5.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 2.1 or Claude Haiku 3?

Claude Haiku 3 is the better all-round choice, scoring 47/100 against Mistral Large 2.1 (38). It leads on price, inputs & features and context window. Mistral Large 2.1 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 2.1 or Claude Haiku 3?

Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 2 API providers). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.50 per million tokens for Claude Haiku 3 versus $3.00 for Mistral Large 2.1 (6× as much).

Which scores higher on benchmarks?

Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.5 (#130 of 148) and Claude Haiku 3 118.4 (#143 of 148). Their confidence ranges do not overlap (123.8–130.8 vs 110.5–121.2), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Claude Haiku 3 36.3%; OTIS Mock AIME 2024–2025 — Mistral Large 2.1 7.8%, Claude Haiku 3 1.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 2.1 and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 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 has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 2.1 up to 16,384, Claude Haiku 3 up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 2.1 accepts text; Claude Haiku 3 accepts text, images and PDFs. Claude Haiku 3 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 3 is proprietary.

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Claude Haiku 3 came out Mar 13, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Claude Haiku 3 Aug 31, 2023.

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 Oct 4, 2026.

05 — Keep comparing

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