Baichuan M2 32B vs Voxtral Mini 3B 2507 vs Qwen3 VL Flash (Alibaba Cloud)
Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 61 and 58 on our weighted score, though Voxtral Mini 3B 2507 is 43% cheaper per token.
BaichuanBaichuan M2 32B
58/100- ECI—
- Price$0.07 / $0.07
- Context131K
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
- Our pick
Alibaba (Qwen)Qwen3 VL Flash (Alibaba Cloud)
72/100- ECI—
- Price$0.022 / $0.215
- Context262K
Qwen3 VL Flash (Alibaba Cloud) is our pick
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Voxtral Mini 3B 2507 (61) and Baichuan M2 32B (58). 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 priceVoxtral Mini 3B 2507Voxtral Mini 3B 2507 $0.04 · Baichuan M2 32B $0.07 · Qwen3 VL Flash (Alibaba Cloud) $0.07 per 1M tokens (3:1 blend)
- Longest contextQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) 262,144 · Baichuan M2 32B 131,072 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsVoxtral Mini 3B 2507 and Qwen3 VL Flash (Alibaba Cloud)Baichuan M2 32B: Text · Voxtral Mini 3B 2507: Text, Audio · Qwen3 VL Flash (Alibaba Cloud): Text, Images
- Self-hostingBaichuan M2 32B and Voxtral Mini 3B 2507Publishes downloadable weights (Apache-2.0 and Apache 2.0)
| Measure | Weight | Baichuan M2 32B | Voxtral Mini 3B 2507 | Qwen3 VL Flash (Alibaba Cloud) |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 10 | 35 | 50 |
| Context window | 20% | 25 | 0 | 37 |
| Overall | 100% | 58/100 | 61/100 | 72/100 |
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 | Baichuan M2 32BBaichuan | Voxtral Mini 3B 2507Mistral AI | Qwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.07 | $0.04 | $0.022 (best) |
| Output | $0.07 | $0.04 (best) | $0.215 |
| Cached input | — | — | — |
| Blended (3:1) | $0.07 | $0.04 (best) | $0.07 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 2 providers | Median of 1 providers |
| Limits | |||
| Context window | 131,072 tokens | 32,768 tokens | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 32,768 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | OpenApache 2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | 1 | 3 (best) | 1 |
| Released | Aug 13, 2025 | Jul 15, 2025 | Oct 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.
- Baichuan M2 32B$0.84
- Voxtral Mini 3B 2507$0.48
- Qwen3 VL Flash (Alibaba Cloud)$0.65
Which should you choose?
Which is better: Baichuan M2 32B, Voxtral Mini 3B 2507 or Qwen3 VL Flash (Alibaba Cloud)?
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Voxtral Mini 3B 2507 (61) and Baichuan M2 32B (58). 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, Baichuan M2 32B, Voxtral Mini 3B 2507 or Qwen3 VL Flash (Alibaba Cloud)?
Voxtral Mini 3B 2507 is cheaper at $0.04 input / $0.04 output per million tokens (median across 2 API providers). Baichuan M2 32B costs $0.07 input / $0.07 output per million tokens (median across 1 API provider); Qwen3 VL Flash (Alibaba Cloud) costs $0.022 input / $0.215 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.04 per million tokens for Voxtral Mini 3B 2507 versus $0.07 for Baichuan M2 32B (1.8× as much) and $0.07 for Qwen3 VL Flash (Alibaba Cloud) (1.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Baichuan M2 32B has not been scored yet, Voxtral Mini 3B 2507 has not been scored yet and Qwen3 VL Flash (Alibaba Cloud) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Baichuan M2 32B, Voxtral Mini 3B 2507 and Qwen3 VL Flash (Alibaba Cloud) yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Baichuan M2 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3 VL Flash (Alibaba Cloud) has the largest context window at 262,144 tokens, against 131,072 for Baichuan M2 32B and 32,768 for Voxtral Mini 3B 2507. Maximum output per response: Baichuan M2 32B up to 131,072, Voxtral Mini 3B 2507 up to 32,768, Qwen3 VL Flash (Alibaba Cloud) up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Baichuan M2 32B accepts text; Voxtral Mini 3B 2507 accepts text and audio; Qwen3 VL Flash (Alibaba Cloud) accepts text and images. Voxtral Mini 3B 2507 handles the widest range of inputs.
Are any of these open source?
Baichuan M2 32B and Voxtral Mini 3B 2507 publishes its weights (Apache-2.0 and Apache 2.0) and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.
Which is newer?
Qwen3 VL Flash (Alibaba Cloud) is the newest, released Oct 15, 2025. Baichuan M2 32B came out Aug 13, 2025; 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.
