Trinity Large Thinking vs GLM-4.7
arcee-ai/trinity-large-thinking · z-ai/glm-4.7
As of October 31, 2026, GLM-4.7 is the cheaper API on UberLLM: $0.1021 per million input tokens and $0.3742 per million output, versus $0.2344 / $0.8438 for Trinity Large Thinking, about 56% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GLM-4.7 to cut cost; choose Trinity Large Thinking when context size wins. Trinity Large Thinking carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.
Trinity Large Thinking vs GLM-4.7, side by side
| Spec | Trinity Large Thinking | GLM-4.7 |
|---|---|---|
| Price · input / 1M | $0.2344 | $0.1021 |
| Price · output / 1M | $0.8438 | $0.3742 |
| Context length | 256,000 | 128,000 |
| Max output tokens | 32,768 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 22% off | 81% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Trinity Large Thinking vs GLM-4.7 — FAQ
Is Trinity Large Thinking or GLM-4.7 cheaper?
GLM-4.7 is cheaper on a blended token mix, by about 56%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Trinity Large Thinking and GLM-4.7?
Trinity Large Thinking: $0.2344 in / $0.8438 out per 1M tokens. GLM-4.7: $0.1021 in / $0.3742 out per 1M tokens. That's roughly a 56% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Trinity Large Thinking and GLM-4.7 with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.