Qwen3-VL 30B-A3B vs Voxtral Small 24B 2507
Qwen3-VL 30B-A3B comes out ahead, 59 to 55 on our weighted score, though Voxtral Small 24B 2507 is 2.3× cheaper per token.
- Our pick
Alibaba (Qwen)Qwen3-VL 30B-A3B
59/100- ECI—
- Price$0.20 / $0.80
- Context131K
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
Add a model
Make it a three-way comparison.
Qwen3-VL 30B-A3B is our pick
Qwen3-VL 30B-A3B is the better all-round choice, scoring 59/100 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 $0.15 · Qwen3-VL 30B-A3B $0.35 per 1M tokens (3:1 blend)
- Longest contextQwen3-VL 30B-A3BQwen3-VL 30B-A3B 131,072 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsSame inputsQwen3-VL 30B-A3B: Text, Images · Voxtral Small 24B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3-VL 30B-A3B | Voxtral Small 24B 2507 |
|---|---|---|---|
| Price | 50% | 72 | 89 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 59/100 | 55/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen3-VL 30B-A3BAlibaba (Qwen) | Voxtral Small 24B 2507Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 | $0.10 (best) |
| Output | $0.80 | $0.30 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.35 | $0.15 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Mistral API |
| Limits | ||
| Context window | 131,072 tokens (best) | 32,768 tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenApache 2.0 |
| API model ID | qwen3-vl-30b-a3b | voxtral-small-latest |
| API providers | 1 | 7 (best) |
| Released | Apr 2025 | Jul 15, 2025 |
| Knowledge cutoff | Apr 2025 | — |
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$3.60
- Voxtral Small 24B 2507$1.60
Which should you choose?
Which is better: Qwen3-VL 30B-A3B or Voxtral Small 24B 2507?
Qwen3-VL 30B-A3B is the better all-round choice, scoring 59/100 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 or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Qwen3-VL 30B-A3B costs $0.20 input / $0.80 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Voxtral Small 24B 2507 versus $0.35 for Qwen3-VL 30B-A3B (2.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3-VL 30B-A3B 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 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 has the largest context window at 131,072 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Qwen3-VL 30B-A3B 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 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. Qwen3-VL 30B-A3B came out Apr 2025. Knowledge cutoff: Qwen3-VL 30B-A3B Apr 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 Oct 4, 2026.
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