ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GPT-5 Mini vs Mistral Small 3.1 24B

GPT-5 Mini comes out ahead, 65 to 55 on our weighted score, though Mistral Small 3.1 24B is 2.5× cheaper per token.

  1. Our pick

    OpenAI

    GPT-5 Mini

    Released Aug 7, 2025

    65/100
    • ECI145.5
    • Price$0.25 / $2.00
    • Context400K
    Full specs Remove GPT-5 Mini

  2. 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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5 Mini is our pick

GPT-5 Mini is the better all-round choice, scoring 65/100 against Mistral Small 3.1 24B (55). It leads on capability, inputs & features and context window. Mistral Small 3.1 24B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5 MiniCapabilities Index (ECI): GPT-5 Mini 145.5 · Mistral Small 3.1 24B 127.5
  • Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · GPT-5 Mini $0.688 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 MiniGPT-5 Mini 400,000 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsSame inputsGPT-5 Mini: Text, Images · Mistral Small 3.1 24B: Text, Images
  • Self-hostingMistral Small 3.1 24BPublishes downloadable weights
How the score is built
MeasureWeightGPT-5 MiniMistral Small 3.1 24B
CapabilityCapabilities Index (ECI)50%7250
Price25%5876
Inputs & features15%7060
Context window10%4424
Overall100%65/10055/100
02 — Side by side

Every spec in one table

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

GPT-5 Mini vs Mistral Small 3.1 24B specifications side by side
SpecificationGPT-5 MiniOpenAIMistral Small 3.1 24BMistral AI
Capability
Capabilities Index (ECI)145.5 (best)127.5
ECI rank#77 of 148 (best)#132 of 148
GPQA DiamondGraduate-level science questions75.0% (best)47.5%
FrontierMath Tiers 1–3Research-level mathematics46.7%—
OTIS Mock AIME 2024–2025Competition mathematics86.7% (best)5.8%
SWE-bench VerifiedFixing real GitHub issues64.7%—
SimpleQA VerifiedShort factual questions21.6%—
Price per million tokens
Input$0.25$0.229 (best)
Output$2.00$0.436 (best)
Cached input$0.025—
Blended (3:1)$0.688$0.281 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIMedian of 2 providers
Limits
Context window400,000 tokens (best)128,000 tokens
Max output128,000 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesminimal · low · medium · highNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpen
API model IDgpt-5-mini—
API providers23 (best)2
ReleasedAug 7, 2025Mar 17, 2025
Knowledge cutoffMay 30, 2024Jun 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.

  • GPT-5 Mini$6.50
  • Mistral Small 3.1 24B$3.16
04 — Questions

Which should you choose?

Which is better: GPT-5 Mini or Mistral Small 3.1 24B?

GPT-5 Mini is the better all-round choice, scoring 65/100 against Mistral Small 3.1 24B (55). It leads on capability, inputs & features and context window. Mistral Small 3.1 24B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5 Mini or Mistral Small 3.1 24B?

Mistral Small 3.1 24B is cheaper at $0.229 input / $0.436 output per million tokens (median across 2 API providers). GPT-5 Mini costs $0.25 input / $2.00 output per million tokens (official OpenAI API price). 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 $0.688 for GPT-5 Mini (2.5× as much).

Which scores higher on benchmarks?

GPT-5 Mini scores higher on the Capabilities Index (ECI): GPT-5 Mini 145.5 (#77 of 148) and Mistral Small 3.1 24B 127.5 (#132 of 148). Their confidence ranges do not overlap (143.6–147.0 vs 122.6–129.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5 Mini 75.0%, Mistral Small 3.1 24B 47.5%; OTIS Mock AIME 2024–2025 — GPT-5 Mini 86.7%, 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 yet, so there is no like-for-like coding score. On overall capability, GPT-5 Mini 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?

GPT-5 Mini has the largest context window at 400,000 tokens, against 128,000 for Mistral Small 3.1 24B. Maximum output per response: GPT-5 Mini up to 128,000, Mistral Small 3.1 24B up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GPT-5 Mini accepts text and images; Mistral Small 3.1 24B accepts text and images. They handle the same number of input types.

Are any of these open source?

Mistral Small 3.1 24B publishes its weights and can be self-hosted; GPT-5 Mini is proprietary.

Which is newer?

GPT-5 Mini is the newest, released Aug 7, 2025. Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: GPT-5 Mini May 30, 2024, Mistral Small 3.1 24B Jun 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.

05 — Keep comparing

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