ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs Mistral Nemo

Mistral Small 3.1 24B comes out ahead, 55 to 48 on our weighted score, though Mistral Nemo is 47% cheaper per token.

  1. Our pick

    Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
  2. Mistral AI

    Mistral Nemo

    Released Jul 1, 2024

    48/100
    • ECI118.7
    • Price$0.15 / $0.15
    • Context128K
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    Make it a three-way comparison.

01 — Verdict

Mistral Small 3.1 24B is our pick

Mistral Small 3.1 24B is the better all-round choice, scoring 55/100 against Mistral Nemo (48). It leads on capability and inputs & features. Mistral Nemo wins 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 · Mistral Nemo 118.7
  • Lowest priceMistral NemoMistral Nemo $0.15 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Small 3.1 24B 128,000 · Mistral Nemo 128,000 tokens
  • Widest inputsMistral Small 3.1 24BMistral Small 3.1 24B: Text, Images · Mistral Nemo: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.1 24BMistral Nemo
CapabilityCapabilities Index (ECI)50%5039
Price25%7689
Inputs & features15%6025
Context window10%2424
Overall100%55/10048/100
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 Mistral Nemo specifications side by side
SpecificationMistral Small 3.1 24BMistral AIMistral NemoMistral AI
Capability
Capabilities Index (ECI)127.5 (best)118.7
ECI rank#132 of 148 (best)#140 of 148
GPQA DiamondGraduate-level science questions47.5% (best)29.9%
OTIS Mock AIME 2024–2025Competition mathematics5.8%—
Price per million tokens
Input$0.229$0.15 (best)
Output$0.436$0.15 (best)
Cached input——
Blended (3:1)$0.281$0.15 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral API
Limits
Context window128,000 tokens128,000 tokens
Max output16,384 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model ID—mistral-nemo
API providers25 (best)
ReleasedMar 17, 2025Jul 1, 2024
Knowledge cutoffJun 2024Jul 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
  • Mistral Nemo$1.80
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or Mistral Nemo?

Mistral Small 3.1 24B is the better all-round choice, scoring 55/100 against Mistral Nemo (48). It leads on capability and inputs & features. Mistral Nemo wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.1 24B or Mistral Nemo?

Mistral Nemo is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral 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 $0.281 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) and Mistral Nemo 118.7 (#140 of 148). Their confidence ranges do not overlap (122.6–129.4 vs 111.3–121.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, Mistral Nemo 29.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and Mistral Nemo 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 Mistral Nemo share the same 128,000-token context window. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Mistral Nemo up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; Mistral Nemo accepts text. Mistral Small 3.1 24B handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Mistral Small 3.1 24B is the newest, released Mar 17, 2025. Mistral Nemo came out Jul 1, 2024. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, Mistral Nemo Jul 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.