ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Small 3.1 24B vs Voxtral Small 24B 2507

Too close to call on our weighted score (Voxtral Small 24B 2507 55, Mistral Small 3.1 24B 53). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    53/100
    • ECI127.5
    • Price$0.351 / $0.555
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

  2. Mistral AI

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.40
    • Context33K
    Full specs Remove Voxtral Small 24B 2507

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Voxtral Small 24B 2507 55/100, Mistral Small 3.1 24B 53/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Mistral Small 3.1 24B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.175 · Mistral Small 3.1 24B $0.402 per 1M tokens (3:1 blend)
  • Longest contextMistral Small 3.1 24BMistral Small 3.1 24B 128,000 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsSame inputsMistral Small 3.1 24B: Text, Images · Voxtral Small 24B 2507: Text, Audio
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.1 24BVoxtral Small 24B 2507
Price50%6682
Inputs & features30%5045
Context window20%240
Overall100%53/10055/100

Left out because at least one model lacks the data: capability. 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 Voxtral Small 24B 2507 specifications side by side
SpecificationMistral Small 3.1 24BMistral AIVoxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)127.5—
ECI rank#145 of 165—
GPQA DiamondGraduate-level science questions47.5%—
OTIS Mock AIME 2024–2025Competition mathematics5.8%—
Price per million tokens
Input$0.351$0.10 (best)
Output$0.555$0.40 (best)
Cached input——
Blended (3:1)$0.402$0.175 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 9 providersOfficial Mistral API
Limits
Context window128,000 tokens (best)32,768 tokens
Max output16,384 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoYes
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpenApache 2.0
API model ID—voxtral-small-latest
API providers910 (best)
ReleasedMar 17, 2025Jul 15, 2025
Knowledge cutoffJun 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$4.62
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or Voxtral Small 24B 2507?

It is close. Our weighted score puts them within 2 points (Voxtral Small 24B 2507 55/100, Mistral Small 3.1 24B 53/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Mistral Small 3.1 24B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Mistral Small 3.1 24B or Voxtral Small 24B 2507?

Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral API price). Mistral Small 3.1 24B costs $0.351 input / $0.555 output per million tokens (median across 9 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Voxtral Small 24B 2507 versus $0.402 for Mistral Small 3.1 24B (2.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Small 3.1 24B has an ECI of 127.5 and Voxtral Small 24B 2507 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and Voxtral Small 24B 2507 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Small 3.1 24B has the largest context window at 128,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Voxtral Small 24B 2507 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; Voxtral Small 24B 2507 accepts text and audio. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Apache 2.0), so you can self-host them.

Which is newer?

Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: 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 Nov 2, 2026.

05 — Keep comparing

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