GLM-4.6V vs Trinity Nano Preview
GLM-4.6V comes out ahead, 52 to 25 on our weighted score, and it is the cheaper option too.
- Our pick
Z.ai (Zhipu)GLM-4.6V
52/100- ECI—
- Price$0.30 / $0.90
- Context128K
Arcee AITrinity Nano Preview
25/100- ECI—
- Price—
- Context131K
Add a model
Make it a three-way comparison.
GLM-4.6V is our pick
GLM-4.6V is the better all-round choice, scoring 52/100 against Trinity Nano Preview (25). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 priceGLM-4.6VGLM-4.6V $0.45 per 1M tokens (3:1 blend) · Trinity Nano Preview unpriced
- Longest contextTrinity Nano PreviewTrinity Nano Preview 131,072 · GLM-4.6V 128,000 tokens
- Widest inputsGLM-4.6VGLM-4.6V: Text, Images, Video · Trinity Nano Preview: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.6V | Trinity Nano Preview |
|---|---|---|---|
| Inputs & features | 60% | 70 | 25 |
| Context window | 40% | 24 | 24 |
| Overall | 100% | 52/100 | 25/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-4.6VZ.ai (Zhipu) | Trinity Nano PreviewArcee AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | — |
| Output | $0.90 | — |
| Cached input | — | — |
| Blended (3:1) | $0.45 | — |
| Long-context rate | Same rate | — |
| Price source | Official Z.AI API | — |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenOpenMDW-1.1 |
| API model ID | glm-4.6v | — |
| API providers | 10 | — |
| Released | Dec 8, 2025 | Dec 1, 2025 |
| Knowledge cutoff | Apr 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.6V$4.80
- Trinity Nano Preview—
Which should you choose?
Which is better: GLM-4.6V or Trinity Nano Preview?
GLM-4.6V is the better all-round choice, scoring 52/100 against Trinity Nano Preview (25). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GLM-4.6V or Trinity Nano Preview?
GLM-4.6V is cheaper at $0.30 input / $0.90 output per million tokens (official Z.AI API price). . At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for GLM-4.6V versus . Trinity Nano Preview has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-4.6V has not been scored yet and Trinity Nano Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V and Trinity Nano Preview 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?
Trinity Nano Preview has the largest context window at 131,072 tokens, against 128,000 for GLM-4.6V. Maximum output per response: GLM-4.6V up to 32,768, Trinity Nano Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V accepts text, images and video; Trinity Nano Preview accepts text. GLM-4.6V handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (OpenMDW-1.1), so you can self-host them.
Which is newer?
GLM-4.6V is the newest, released Dec 8, 2025. Trinity Nano Preview came out Dec 1, 2025. Knowledge cutoff: GLM-4.6V Apr 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 Oct 4, 2026.
