AutoGLM Phone 9B Multilingual vs Trinity Mini vs Voxtral Mini 3B 2507
Trinity Mini comes out ahead, 65 to 61 and 60 on our weighted score, though Voxtral Mini 3B 2507 is 44% cheaper per token.
Z.ai (Zhipu)AutoGLM Phone 9B Multilingual
60/100- ECI—
- Price$0.035 / $0.138
- Context66K
- Our pick
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
Trinity Mini is our pick
Trinity Mini is the better all-round choice, scoring 65/100 against Voxtral Mini 3B 2507 (61) and AutoGLM Phone 9B Multilingual (60). It leads on 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 · AutoGLM Phone 9B Multilingual $0.061 · Trinity Mini $0.071 per 1M tokens (3:1 blend)
- Longest contextTrinity MiniTrinity Mini 131,072 · AutoGLM Phone 9B Multilingual 65,536 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsAutoGLM Phone 9B Multilingual and Voxtral Mini 3B 2507AutoGLM Phone 9B Multilingual: Text, Images · Trinity Mini: Text · Voxtral Mini 3B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | AutoGLM Phone 9B Multilingual | Trinity Mini | Voxtral Mini 3B 2507 |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 25 | 35 | 35 |
| Context window | 20% | 12 | 25 | 0 |
| Overall | 100% | 60/100 | 65/100 | 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 | AutoGLM Phone 9B MultilingualZ.ai (Zhipu) | Trinity MiniArcee AI | Voxtral Mini 3B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.035 (best) | $0.045 | $0.04 |
| Output | $0.138 | $0.15 | $0.04 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.061 | $0.071 | $0.04 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 1 providers | Median of 2 providers |
| Limits | |||
| Context window | 65,536 tokens | 131,072 tokens (best) | 32,768 tokens |
| Max output | 65,536 tokens | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenMIT | OpenOpenMDW-1.1 | OpenApache 2.0 |
| API model ID | — | — | — |
| API providers | 2 | 1 | 3 (best) |
| Released | Dec 10, 2025 | Dec 1, 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.
- AutoGLM Phone 9B Multilingual$0.626
- Trinity Mini$0.75
- Voxtral Mini 3B 2507$0.48
Which should you choose?
Which is better: AutoGLM Phone 9B Multilingual, Trinity Mini or Voxtral Mini 3B 2507?
Trinity Mini is the better all-round choice, scoring 65/100 against Voxtral Mini 3B 2507 (61) and AutoGLM Phone 9B Multilingual (60). It leads on 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, AutoGLM Phone 9B Multilingual, Trinity Mini or Voxtral Mini 3B 2507?
Voxtral Mini 3B 2507 is cheaper at $0.04 input / $0.04 output per million tokens (median across 2 API providers). AutoGLM Phone 9B Multilingual costs $0.035 input / $0.138 output per million tokens (median across 2 API providers); 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 $0.04 per million tokens for Voxtral Mini 3B 2507 versus $0.061 for AutoGLM Phone 9B Multilingual (1.5× as much) and $0.071 for Trinity Mini (1.8× 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, Trinity Mini 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 AutoGLM Phone 9B Multilingual, Trinity Mini and Voxtral Mini 3B 2507 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 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Trinity Mini has the largest context window at 131,072 tokens, against 65,536 for AutoGLM Phone 9B Multilingual and 32,768 for Voxtral Mini 3B 2507. Maximum output per response: AutoGLM Phone 9B Multilingual up to 65,536, Trinity Mini up to 131,072, Voxtral Mini 3B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
AutoGLM Phone 9B Multilingual accepts text and images; Trinity Mini accepts text; Voxtral Mini 3B 2507 accepts text and audio. AutoGLM Phone 9B Multilingual handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (MIT, OpenMDW-1.1 and Apache 2.0), 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; 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.
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