Qwen3 VL Flash (Alibaba Cloud) vs Trinity Mini vs Baichuan M2 32B
Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 65 and 58 on our weighted score.
- Our pick
Alibaba (Qwen)Qwen3 VL Flash (Alibaba Cloud)
72/100- ECI—
- Price$0.022 / $0.215
- Context262K
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
BaichuanBaichuan M2 32B
58/100- ECI—
- Price$0.07 / $0.07
- Context131K
Qwen3 VL Flash (Alibaba Cloud) is our pick
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Trinity Mini (65) 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 priceBaichuan M2 32BBaichuan M2 32B $0.07 · Qwen3 VL Flash (Alibaba Cloud) $0.07 · Trinity Mini $0.071 per 1M tokens (3:1 blend)
- Longest contextQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) 262,144 · Trinity Mini 131,072 · Baichuan M2 32B 131,072 tokens
- Widest inputsQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud): Text, Images · Trinity Mini: Text · Baichuan M2 32B: Text
- Self-hostingTrinity Mini and Baichuan M2 32BPublishes downloadable weights (OpenMDW-1.1 and Apache-2.0)
| Measure | Weight | Qwen3 VL Flash (Alibaba Cloud) | Trinity Mini | Baichuan M2 32B |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 50 | 35 | 10 |
| Context window | 20% | 37 | 25 | 25 |
| Overall | 100% | 72/100 | 65/100 | 58/100 |
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 Flash (Alibaba Cloud)Alibaba (Qwen) | Trinity MiniArcee AI | Baichuan M2 32BBaichuan |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.022 (best) | $0.045 | $0.07 |
| Output | $0.215 | $0.15 | $0.07 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.07 | $0.071 | $0.07 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenOpenMDW-1.1 | OpenApache-2.0 |
| API model ID | — | — | — |
| API providers | 1 | 1 | 1 |
| Released | Oct 15, 2025 | Dec 1, 2025 | Aug 13, 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 VL Flash (Alibaba Cloud)$0.65
- Trinity Mini$0.75
- Baichuan M2 32B$0.84
Which should you choose?
Which is better: Qwen3 VL Flash (Alibaba Cloud), Trinity Mini or Baichuan M2 32B?
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Trinity Mini (65) 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, Qwen3 VL Flash (Alibaba Cloud), Trinity Mini or Baichuan M2 32B?
Baichuan M2 32B is cheaper at $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); Trinity Mini costs $0.045 input / $0.15 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.07 per million tokens for Baichuan M2 32B versus $0.07 for Qwen3 VL Flash (Alibaba Cloud) (1× as much) and $0.071 for Trinity Mini (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3 VL Flash (Alibaba Cloud) has not been scored yet, Trinity Mini has not been scored yet and Baichuan M2 32B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 VL Flash (Alibaba Cloud), Trinity Mini and Baichuan M2 32B 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 Trinity Mini and 131,072 for Baichuan M2 32B. Maximum output per response: Qwen3 VL Flash (Alibaba Cloud) up to 32,768, Trinity Mini up to 131,072, Baichuan M2 32B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3 VL Flash (Alibaba Cloud) accepts text and images; Trinity Mini accepts text; Baichuan M2 32B accepts text. Qwen3 VL Flash (Alibaba Cloud) handles the widest range of inputs.
Are any of these open source?
Trinity Mini and Baichuan M2 32B publishes its weights (OpenMDW-1.1 and Apache-2.0) and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.
Which is newer?
Trinity Mini is the newest, released Dec 1, 2025. Qwen3 VL Flash (Alibaba Cloud) came out Oct 15, 2025; Baichuan M2 32B came out Aug 13, 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.
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