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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 30B A3B vs Voxtral Small 24B 2507

Too close to call on our weighted score (Qwen3 30B A3B 55, Voxtral Small 24B 2507 55). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3 30B A3B

    Released Apr 28, 2025

    55/100
    • ECI136.2
    • Price$0.108 / $0.475
    • Context131K
    Full specs Remove Qwen3 30B A3B

  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 a point (Qwen3 30B A3B 55/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Qwen3 30B A3B 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 · Qwen3 30B A3B $0.20 per 1M tokens (3:1 blend)
  • Longest contextQwen3 30B A3BQwen3 30B A3B 131,072 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsVoxtral Small 24B 2507Qwen3 30B A3B: Text · 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 30B A3BVoxtral Small 24B 2507
Price50%8082
Inputs & features30%3545
Context window20%250
Overall100%55/10055/100

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 30B A3B vs Voxtral Small 24B 2507 specifications side by side
SpecificationQwen3 30B A3BAlibaba (Qwen)Voxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)136.2—
ECI rank#126 of 165—
GPQA DiamondGraduate-level science questions61.7%—
OTIS Mock AIME 2024–2025Competition mathematics62.8%—
Price per million tokens
Input$0.108$0.10 (best)
Output$0.475$0.40 (best)
Cached input——
Blended (3:1)$0.20$0.175 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 14 providersOfficial Mistral API
Limits
Context window131,072 tokens (best)32,768 tokens
Max output16,384 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoYes
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpenApache 2.0
API model ID—voxtral-small-latest
API providers14 (best)10
ReleasedApr 28, 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 30B A3B$2.03
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within a point (Qwen3 30B A3B 55/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Qwen3 30B A3B 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, Qwen3 30B A3B 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 30B A3B costs $0.108 input / $0.475 output per million tokens (median across 14 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 $0.20 for Qwen3 30B A3B (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 30B A3B has an ECI of 136.2 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 30B A3B 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 30B A3B has the largest context window at 131,072 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Qwen3 30B A3B up to 16,384, Voxtral Small 24B 2507 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

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

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. Qwen3 30B A3B came out Apr 28, 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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