ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Voxtral Small 24B 2507 vs Mistral Large

Voxtral Small 24B 2507 comes out ahead, 55 to 45 on our weighted score, and it is the cheaper option too.

  1. Our pick

    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

  2. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    45/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
    Full specs Remove Mistral Large

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Voxtral Small 24B 2507 is our pick

Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Mistral Large (45). It leads on price. Mistral Large wins on context window. 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 Large $0.75 per 1M tokens (3:1 blend)
  • Longest contextMistral LargeMistral Large 128,000 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsSame inputsVoxtral Small 24B 2507: Text, Audio · Mistral Large: Text, PDFs
  • Self-hostingVoxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightVoxtral Small 24B 2507Mistral Large
Price50%8253
Inputs & features30%4545
Context window20%024
Overall100%55/10045/100

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.

Voxtral Small 24B 2507 vs Mistral Large specifications side by side
SpecificationVoxtral Small 24B 2507Mistral AIMistral LargeMistral AI
Capability
Capabilities Index (ECI)—122.0
ECI rank—#153 of 165
GPQA DiamondGraduate-level science questions—38.8%
OTIS Mock AIME 2024–2025Competition mathematics—1.9%
Price per million tokens
Input$0.10 (best)$0.50
Output$0.40 (best)$1.50
Cached input—$0.05
Blended (3:1)$0.175 (best)$0.75
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Mistral API
Limits
Context window32,768 tokens128,000 tokens (best)
Max output32,768 tokens102,400 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoYes
AudioYesNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenApache 2.0Proprietary
API model IDvoxtral-small-latestmistral-large-latest
API providers1011 (best)
ReleasedJul 15, 2025Feb 26, 2024
Knowledge cutoff—Nov 30, 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.

  • Voxtral Small 24B 2507$1.80
  • Mistral Large$8.00
04 — Questions

Which should you choose?

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

Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Mistral Large (45). It leads on price. Mistral Large wins on context window. 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, Voxtral Small 24B 2507 or Mistral Large?

Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral API price). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). 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 $0.75 for Mistral Large (4.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Voxtral Small 24B 2507 has not been scored yet and Mistral Large has an ECI of 122.0.

Which is better for coding?

There are no published SWE-bench Verified results for Voxtral Small 24B 2507 and Mistral Large 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 Large has the largest context window at 128,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Large is proprietary.

Which is newer?

Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 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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