Qwen3.5 2B vs Voxtral Mini 3B 2507
Qwen3.5 2B comes out ahead, 78 to 61 on our weighted score.
- Our pick
Alibaba (Qwen)Qwen3.5 2B
78/100- ECI—
- Price$0.02 / $0.10
- Context262K
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
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Make it a three-way comparison.
Qwen3.5 2B is our pick
Qwen3.5 2B is the better all-round choice, scoring 78/100 against Voxtral Mini 3B 2507 (61). It leads on inputs & features and 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 priceSame priceQwen3.5 2B $0.04 · Voxtral Mini 3B 2507 $0.04 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 2BQwen3.5 2B 262,144 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsQwen3.5 2BQwen3.5 2B: Text, Images, Video · Voxtral Mini 3B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.5 2B | Voxtral Mini 3B 2507 |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 37 | 0 |
| Overall | 100% | 78/100 | 61/100 |
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 | Qwen3.5 2BAlibaba (Qwen) | Voxtral Mini 3B 2507Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.02 (best) | $0.04 |
| Output | $0.10 | $0.04 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.04 | $0.04 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 2 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 32,768 tokens |
| Max output | 81,920 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | Yes |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache-2.0 | OpenApache 2.0 |
| API model ID | — | — |
| API providers | 2 | 3 (best) |
| Released | Mar 2, 2026 | 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.
- Qwen3.5 2B$0.40
- Voxtral Mini 3B 2507$0.48
Which should you choose?
Which is better: Qwen3.5 2B or Voxtral Mini 3B 2507?
Qwen3.5 2B is the better all-round choice, scoring 78/100 against Voxtral Mini 3B 2507 (61). It leads on inputs & features and 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, Qwen3.5 2B or Voxtral Mini 3B 2507?
Qwen3.5 2B and Voxtral Mini 3B 2507 cost the same: $0.02 input / $0.10 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3.5 2B has not been scored yet and Voxtral Mini 3B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 2B and Voxtral Mini 3B 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?
Qwen3.5 2B has the largest context window at 262,144 tokens, against 32,768 for Voxtral Mini 3B 2507. Maximum output per response: Qwen3.5 2B up to 81,920, Voxtral Mini 3B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 2B accepts text, images and video; Voxtral Mini 3B 2507 accepts text and audio. Qwen3.5 2B 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?
Qwen3.5 2B is the newest, released Mar 2, 2026. Voxtral Mini 3B 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.
