ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs GPT-4o mini

Too close to call on our weighted score (GPT-4o mini 56, Mistral Small 3.1 24B 55). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

  2. OpenAI

    GPT-4o mini

    Released Jul 18, 2024

    56/100
    • ECI126.6
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove GPT-4o mini

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GPT-4o mini 56/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and GPT-4o mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Small 3.1 24BCapabilities Index (ECI): Mistral Small 3.1 24B 127.5 · GPT-4o mini 126.6
  • Lowest priceGPT-4o miniGPT-4o mini $0.263 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Small 3.1 24B 128,000 · GPT-4o mini 128,000 tokens
  • Widest inputsGPT-4o miniMistral Small 3.1 24B: Text, Images · GPT-4o mini: Text, Images, PDFs
  • Self-hostingMistral Small 3.1 24BPublishes downloadable weights
How the score is built
MeasureWeightMistral Small 3.1 24BGPT-4o mini
CapabilityCapabilities Index (ECI)50%5049
Price25%7677
Inputs & features15%6070
Context window10%2424
Overall100%55/10056/100
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 GPT-4o mini specifications side by side
SpecificationMistral Small 3.1 24BMistral AIGPT-4o miniOpenAI
Capability
Capabilities Index (ECI)127.5 (best)126.6
ECI rank#132 of 148 (best)#135 of 148
GPQA DiamondGraduate-level science questions47.5% (best)37.7%
FrontierMath Tiers 1–3Research-level mathematics—0.7%
OTIS Mock AIME 2024–2025Competition mathematics5.8%6.9% (best)
SimpleQA VerifiedShort factual questions—8.3%
Price per million tokens
Input$0.229$0.15 (best)
Output$0.436 (best)$0.60
Cached input—$0.075
Blended (3:1)$0.281$0.263 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial OpenAI API
Limits
Context window128,000 tokens128,000 tokens
Max output16,384 tokens16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model ID—gpt-4o-mini
API providers221 (best)
ReleasedMar 17, 2025Jul 18, 2024
Knowledge cutoffJun 2024Sep 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 Small 3.1 24B$3.16
  • GPT-4o mini$2.70
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or GPT-4o mini?

It is close. Our weighted score puts them within 1 points (GPT-4o mini 56/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and GPT-4o mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.1 24B or GPT-4o mini?

GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Mistral Small 3.1 24B costs $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 $0.263 per million tokens for GPT-4o mini versus $0.281 for Mistral Small 3.1 24B (1.1× as much).

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 GPT-4o mini 126.6 (#135 of 148). The confidence ranges of the top two overlap (122.6–129.4 vs 120.5–128.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, GPT-4o mini 37.7%; OTIS Mock AIME 2024–2025 — GPT-4o mini 6.9%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and GPT-4o mini 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?

Mistral Small 3.1 24B and GPT-4o mini share the same 128,000-token context window. Maximum output per response: Mistral Small 3.1 24B up to 16,384, GPT-4o mini up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; GPT-4o mini accepts text, images and PDFs. GPT-4o mini 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; GPT-4o mini is proprietary.

Which is newer?

Mistral Small 3.1 24B is the newest, released Mar 17, 2025. GPT-4o mini came out Jul 18, 2024. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, GPT-4o mini Sep 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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