Trinity Large Thinking vs Kimi K2.7 Code
arcee-ai/trinity-large-thinking · moonshotai/kimi-k2.7-code
As of November 6, 2026, Kimi K2.7 Code is the cheaper API on UberLLM: $0.0053 per million input tokens and $0.0308 per million output, versus $0.1975 / $0.6320 for Trinity Large Thinking, about 95% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K2.7 Code to cut cost; choose Trinity Large Thinking when its capabilities fit your task better.
Trinity Large Thinking vs Kimi K2.7 Code, side by side
| Spec | Trinity Large Thinking | Kimi K2.7 Code |
|---|---|---|
| Price · input / 1M | $0.1975 | $0.0053 |
| Price · output / 1M | $0.6320 | $0.0308 |
| Context length | 256,000 | 262,144 |
| Max output tokens | 32,768 | 131,072 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 34.3% off | 99.1% off |
| First token, median (7 days) | — | 4.8 s (283 requests) |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 6, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Trinity Large Thinking vs Kimi K2.7 Code — FAQ
Is Trinity Large Thinking or Kimi K2.7 Code cheaper?
Kimi K2.7 Code is cheaper on a blended token mix, by about 95%. 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 Kimi K2.7 Code?
Trinity Large Thinking: $0.1975 in / $0.6320 out per 1M tokens. Kimi K2.7 Code: $0.0053 in / $0.0308 out per 1M tokens. That's roughly a 95% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Trinity Large Thinking and Kimi K2.7 Code 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.