AutoGLM Phone 9B Multilingual vs Baichuan M2 32B vs Trinity Mini
Trinity Mini comes out ahead, 65 to 60 and 58 on our weighted score, though AutoGLM Phone 9B Multilingual is 15% cheaper per token.
Z.ai (Zhipu)AutoGLM Phone 9B Multilingual
60/100- ECI—
- Price$0.035 / $0.138
- Context66K
BaichuanBaichuan M2 32B
58/100- ECI—
- Price$0.07 / $0.07
- Context131K
- Our pick
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
Trinity Mini is our pick
Trinity Mini is the better all-round choice, scoring 65/100 against AutoGLM Phone 9B Multilingual (60) and Baichuan M2 32B (58). It leads on inputs & features. 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 priceAutoGLM Phone 9B MultilingualAutoGLM Phone 9B Multilingual $0.061 · Baichuan M2 32B $0.07 · Trinity Mini $0.071 per 1M tokens (3:1 blend)
- Longest contextBaichuan M2 32B and Trinity MiniBaichuan M2 32B 131,072 · Trinity Mini 131,072 · AutoGLM Phone 9B Multilingual 65,536 tokens
- Widest inputsAutoGLM Phone 9B MultilingualAutoGLM Phone 9B Multilingual: Text, Images · Baichuan M2 32B: Text · Trinity Mini: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | AutoGLM Phone 9B Multilingual | Baichuan M2 32B | Trinity Mini |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 25 | 10 | 35 |
| Context window | 20% | 12 | 25 | 25 |
| Overall | 100% | 60/100 | 58/100 | 65/100 |
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 | AutoGLM Phone 9B MultilingualZ.ai (Zhipu) | Baichuan M2 32BBaichuan | Trinity MiniArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.035 (best) | $0.07 | $0.045 |
| Output | $0.138 | $0.07 (best) | $0.15 |
| Cached input | — | — | — |
| Blended (3:1) | $0.061 (best) | $0.07 | $0.071 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 65,536 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Max output | 65,536 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 | No | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenMIT | OpenApache-2.0 | OpenOpenMDW-1.1 |
| API model ID | — | — | — |
| API providers | 2 (best) | 1 | 1 |
| Released | Dec 10, 2025 | Aug 13, 2025 | Dec 1, 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.
- AutoGLM Phone 9B Multilingual$0.626
- Baichuan M2 32B$0.84
- Trinity Mini$0.75
Which should you choose?
Which is better: AutoGLM Phone 9B Multilingual, Baichuan M2 32B or Trinity Mini?
Trinity Mini is the better all-round choice, scoring 65/100 against AutoGLM Phone 9B Multilingual (60) and Baichuan M2 32B (58). It leads on inputs & features. 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, AutoGLM Phone 9B Multilingual, Baichuan M2 32B or Trinity Mini?
AutoGLM Phone 9B Multilingual is cheaper at $0.035 input / $0.138 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); 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 $0.061 per million tokens for AutoGLM Phone 9B Multilingual versus $0.07 for Baichuan M2 32B (1.2× as much) and $0.071 for Trinity Mini (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. AutoGLM Phone 9B Multilingual has not been scored yet, Baichuan M2 32B has not been scored yet and Trinity Mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for AutoGLM Phone 9B Multilingual, Baichuan M2 32B and Trinity Mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that AutoGLM Phone 9B Multilingual and Baichuan M2 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Baichuan M2 32B and Trinity Mini have the largest context windows (131,072 and 131,072 tokens), against 65,536 for AutoGLM Phone 9B Multilingual. Maximum output per response: AutoGLM Phone 9B Multilingual up to 65,536, Baichuan M2 32B up to 131,072, Trinity Mini up to 131,072 tokens.
Which can read images, PDFs, audio or video?
AutoGLM Phone 9B Multilingual accepts text and images; Baichuan M2 32B accepts text; Trinity Mini accepts text. AutoGLM Phone 9B Multilingual handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (MIT, Apache-2.0 and OpenMDW-1.1), so you can self-host them.
Which is newer?
AutoGLM Phone 9B Multilingual is the newest, released Dec 10, 2025. Trinity Mini came out Dec 1, 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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