ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4o mini vs Mistral Nemo vs Mistral Small 3.1 24B

Too close to call on our weighted score (GPT-4o mini 56, Mistral Small 3.1 24B 55, Mistral Nemo 48). The right pick depends on what you value most.

  1. OpenAI

    GPT-4o mini

    Released Jul 18, 2024

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

  2. Mistral AI

    Mistral Nemo

    Released Jul 1, 2024

    48/100
    • ECI118.7
    • Price$0.15 / $0.15
    • Context128K
    Full specs Remove Mistral Nemo

  3. 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
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, Mistral Nemo 48/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and Mistral Nemo 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 · Mistral Nemo 118.7
  • Lowest priceMistral NemoMistral Nemo $0.15 · GPT-4o mini $0.263 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-4o mini 128,000 · Mistral Nemo 128,000 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsGPT-4o miniGPT-4o mini: Text, Images, PDFs · Mistral Nemo: Text · Mistral Small 3.1 24B: Text, Images
  • Self-hostingMistral Nemo and Mistral Small 3.1 24BPublishes downloadable weights
How the score is built
MeasureWeightGPT-4o miniMistral NemoMistral Small 3.1 24B
CapabilityCapabilities Index (ECI)50%493950
Price25%778976
Inputs & features15%702560
Context window10%242424
Overall100%56/10048/10055/100
02 — Side by side

Every spec in one table

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

GPT-4o mini vs Mistral Nemo vs Mistral Small 3.1 24B specifications side by side
SpecificationGPT-4o miniOpenAIMistral NemoMistral AIMistral Small 3.1 24BMistral AI
Capability
Capabilities Index (ECI)126.6118.7127.5 (best)
ECI rank#135 of 148#140 of 148#132 of 148 (best)
GPQA DiamondGraduate-level science questions37.7%29.9%47.5% (best)
FrontierMath Tiers 1–3Research-level mathematics0.7%——
OTIS Mock AIME 2024–2025Competition mathematics6.9% (best)—5.8%
SimpleQA VerifiedShort factual questions8.3%——
Price per million tokens
Input$0.15 (best)$0.15 (best)$0.229
Output$0.60$0.15 (best)$0.436
Cached input$0.075——
Blended (3:1)$0.263$0.15 (best)$0.281
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Mistral APIMedian of 2 providers
Limits
Context window128,000 tokens128,000 tokens128,000 tokens
Max output16,384 tokens128,000 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenOpen
API model IDgpt-4o-minimistral-nemo—
API providers21 (best)52
ReleasedJul 18, 2024Jul 1, 2024Mar 17, 2025
Knowledge cutoffSep 2023Jul 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-4o mini$2.70
  • Mistral Nemo$1.80
  • Mistral Small 3.1 24B$3.16
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within 1 points (GPT-4o mini 56/100, Mistral Small 3.1 24B 55/100, Mistral Nemo 48/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and Mistral Nemo on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Mistral Nemo is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). GPT-4o mini costs $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 $0.15 per million tokens for Mistral Nemo versus $0.263 for GPT-4o mini (1.8× as much) and $0.281 for Mistral Small 3.1 24B (1.9× 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), GPT-4o mini 126.6 (#135 of 148) and Mistral Nemo 118.7 (#140 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%, Mistral Nemo 29.9%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o mini, Mistral Nemo and Mistral Small 3.1 24B 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. All three support tool calling for agent workflows.

Which has the bigger context window?

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

Which can read images, PDFs, audio or video?

GPT-4o mini accepts text, images and PDFs; Mistral Nemo accepts text; Mistral Small 3.1 24B accepts text and images. GPT-4o mini handles the widest range of inputs.

Are any of these open source?

Mistral Nemo and 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; Mistral Nemo came out Jul 1, 2024. Knowledge cutoff: GPT-4o mini Sep 2023, Mistral Nemo Jul 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

Related comparisons