Qwen3 235B-A22B Instruct 2507 vs Voxtral Small 24B 2507
Too close to call on our weighted score (Voxtral Small 24B 2507 55, Qwen3 235B-A22B Instruct 2507 52). The right pick depends on what you value most.
Alibaba (Qwen)Qwen3 235B-A22B Instruct 2507
52/100- ECI138.9
- Price$0.15 / $0.75
- Context262K
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Voxtral Small 24B 2507 55/100, Qwen3 235B-A22B Instruct 2507 52/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Qwen3 235B-A22B Instruct 2507 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 $0.15 · Qwen3 235B-A22B Instruct 2507 $0.30 per 1M tokens (3:1 blend)
- Longest contextQwen3 235B-A22B Instruct 2507Qwen3 235B-A22B Instruct 2507 262,144 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Qwen3 235B-A22B Instruct 2507: Text · Voxtral Small 24B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3 235B-A22B Instruct 2507 | Voxtral Small 24B 2507 |
|---|---|---|---|
| Price | 50% | 75 | 89 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 37 | 0 |
| Overall | 100% | 52/100 | 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 235B-A22B Instruct 2507Alibaba (Qwen) | Voxtral Small 24B 2507Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 138.9 | — |
| ECI rank | #105 of 148 | — |
| Price per million tokens | ||
| Input | $0.15 | $0.10 (best) |
| Output | $0.75 | $0.30 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.30 | $0.15 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 11 providers | Official Mistral API |
| Limits | ||
| Context window | 262,144 tokens (best) | 32,768 tokens |
| Max output | 16,384 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | OpenApache 2.0 |
| API model ID | — | voxtral-small-latest |
| API providers | 11 (best) | 7 |
| Released | Jul 21, 2025 | Jul 15, 2025 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3 235B-A22B Instruct 2507$3.00
- Voxtral Small 24B 2507$1.60
Which should you choose?
Which is better: Qwen3 235B-A22B Instruct 2507 or Voxtral Small 24B 2507?
It is close. Our weighted score puts them within 3 points (Voxtral Small 24B 2507 55/100, Qwen3 235B-A22B Instruct 2507 52/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Qwen3 235B-A22B Instruct 2507 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 235B-A22B Instruct 2507 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 235B-A22B Instruct 2507 costs $0.15 input / $0.75 output per million tokens (median across 11 API providers). 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 $0.30 for Qwen3 235B-A22B Instruct 2507 (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3 235B-A22B Instruct 2507 has an ECI of 138.9 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 235B-A22B Instruct 2507 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 235B-A22B Instruct 2507 has the largest context window at 262,144 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Qwen3 235B-A22B Instruct 2507 up to 16,384, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen3 235B-A22B Instruct 2507 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?
Qwen3 235B-A22B Instruct 2507 is the newest, released Jul 21, 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 Oct 4, 2026.
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