ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs Claude Haiku 3.5

Too close to call on our weighted score (Claude Haiku 3.5 49, Mistral Small 3.1 24B 48). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    48/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
  2. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    49/100
    • ECI127.2
    • Price—
    • Context200K
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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Claude Haiku 3.5 49/100, Mistral Small 3.1 24B 48/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and Claude Haiku 3.5 for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityMistral Small 3.1 24BCapabilities Index (ECI): Mistral Small 3.1 24B 127.5 · Claude Haiku 3.5 127.2
  • Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsClaude Haiku 3.5Mistral Small 3.1 24B: Text, Images · Claude Haiku 3.5: Text, Images, PDFs
  • Self-hostingMistral Small 3.1 24BPublishes downloadable weights
How the score is built
MeasureWeightMistral Small 3.1 24BClaude Haiku 3.5
CapabilityCapabilities Index (ECI)67%5049
Inputs & features20%6060
Context window13%2432
Overall100%48/10049/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Mistral Small 3.1 24B vs Claude Haiku 3.5 specifications side by side
SpecificationMistral Small 3.1 24BMistral AIClaude Haiku 3.5Anthropic
Capability
Capabilities Index (ECI)127.5 (best)127.2
ECI rank#132 of 148 (best)#134 of 148
GPQA DiamondGraduate-level science questions47.5% (best)38.1%
OTIS Mock AIME 2024–2025Competition mathematics5.8% (best)4.3%
Price per million tokens
Input$0.229—
Output$0.436—
Cached input——
Blended (3:1)$0.281—
Long-context rateSame rate—
Price sourceMedian of 2 providers—
Limits
Context window128,000 tokens200,000 tokens (best)
Max output16,384 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenProprietary
API model ID——
API providers2—
ReleasedMar 17, 2025Oct 22, 2024
Knowledge cutoffJun 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 Small 3.1 24B$3.16
  • Claude Haiku 3.5—
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or Claude Haiku 3.5?

It is close. Our weighted score puts them within a point (Claude Haiku 3.5 49/100, Mistral Small 3.1 24B 48/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and Claude Haiku 3.5 for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Mistral Small 3.1 24B or Claude Haiku 3.5?

Mistral Small 3.1 24B is cheaper at $0.229 input / $0.436 output per million tokens (median across 2 API providers). . At a typical mix of three input tokens to one output token, that is $0.281 per million tokens for Mistral Small 3.1 24B versus . Claude Haiku 3.5 has no published per-token price.

Which scores higher on benchmarks?

Mistral Small 3.1 24B scores higher on the Capabilities Index (ECI): Mistral Small 3.1 24B 127.5 (#132 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). The confidence ranges of the top two overlap (122.6–129.4 vs 120.7–129.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Mistral Small 3.1 24B 5.8%, Claude Haiku 3.5 4.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and Claude Haiku 3.5 yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.1 24B 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 Small 3.1 24B. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Claude Haiku 3.5 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; 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?

Mistral Small 3.1 24B publishes its weights and can be self-hosted; Claude Haiku 3.5 is proprietary.

Which is newer?

Mistral Small 3.1 24B is the newest, released Mar 17, 2025. Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Mistral Small 3.1 24B Jun 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 Oct 4, 2026.