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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 VL 30B A3B Instruct vs Voxtral Small 24B 2507

Qwen3 VL 30B A3B Instruct comes out ahead, 62 to 55 on our weighted score, though Voxtral Small 24B 2507 is 33% cheaper per token.

  1. Our pick

    Alibaba (Qwen)

    Qwen3 VL 30B A3B Instruct

    Released Oct 4, 2025

    62/100
    • ECI—
    • Price$0.15 / $0.60
    • Context262K
    Full specs Remove Qwen3 VL 30B A3B Instruct

  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

Qwen3 VL 30B A3B Instruct is our pick

Qwen3 VL 30B A3B Instruct is the better all-round choice, scoring 62/100 against Voxtral Small 24B 2507 (55). It leads on inputs & features and context window. Voxtral Small 24B 2507 wins on price. 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 · Qwen3 VL 30B A3B Instruct $0.263 per 1M tokens (3:1 blend)
  • Longest contextQwen3 VL 30B A3B InstructQwen3 VL 30B A3B Instruct 262,144 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsQwen3 VL 30B A3B InstructQwen3 VL 30B A3B Instruct: Text, Images, Video · 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
MeasureWeightQwen3 VL 30B A3B InstructVoxtral Small 24B 2507
Price50%7482
Inputs & features30%6045
Context window20%370
Overall100%62/10055/100

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.

Qwen3 VL 30B A3B Instruct vs Voxtral Small 24B 2507 specifications side by side
SpecificationQwen3 VL 30B A3B InstructAlibaba (Qwen)Voxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.15$0.10 (best)
Output$0.60$0.40 (best)
Cached input——
Blended (3:1)$0.263$0.175 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 13 providersOfficial Mistral API
Limits
Context window262,144 tokens (best)32,768 tokens
Max output32,768 tokens32,768 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoYes
VideoYesNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache-2.0OpenApache 2.0
API model ID—voxtral-small-latest
API providers13 (best)10
ReleasedOct 4, 2025Jul 15, 2025
Knowledge cutoff——
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.

  • Qwen3 VL 30B A3B Instruct$2.70
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

Which is better: Qwen3 VL 30B A3B Instruct or Voxtral Small 24B 2507?

Qwen3 VL 30B A3B Instruct is the better all-round choice, scoring 62/100 against Voxtral Small 24B 2507 (55). It leads on inputs & features and context window. Voxtral Small 24B 2507 wins on price. 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, Qwen3 VL 30B A3B Instruct 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). Qwen3 VL 30B A3B Instruct costs $0.15 input / $0.60 output per million tokens (median across 13 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 $0.263 for Qwen3 VL 30B A3B Instruct (1.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 VL 30B A3B Instruct has not been scored yet and Voxtral Small 24B 2507 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 VL 30B A3B Instruct 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?

Qwen3 VL 30B A3B Instruct has the largest context window at 262,144 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Qwen3 VL 30B A3B Instruct up to 32,768, Voxtral Small 24B 2507 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Qwen3 VL 30B A3B Instruct accepts text, images and video; Voxtral Small 24B 2507 accepts text and audio. Qwen3 VL 30B A3B Instruct handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Qwen3 VL 30B A3B Instruct is the newest, released Oct 4, 2025. Voxtral Small 24B 2507 came out Jul 15, 2025.

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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