Kimi K2.7 Code vs GLM 4.5
moonshotai/kimi-k2.7-code · z-ai/glm-4.5
As of November 5, 2026, GLM 4.5 is the cheaper API on UberLLM: $0.0059 per million input tokens and $0.0216 per million output, versus $0.0137 / $0.0798 for Kimi K2.7 Code, about 72% 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 GLM 4.5 to cut cost; choose Kimi K2.7 Code when context size wins. Kimi K2.7 Code carries the larger context window (262,144 vs 128,000 tokens), which can matter for long-document work.
Kimi K2.7 Code vs GLM 4.5, side by side
| Spec | Kimi K2.7 Code | GLM 4.5 |
|---|---|---|
| Price · input / 1M | $0.0137 | $0.0059 |
| Price · output / 1M | $0.0798 | $0.0216 |
| Context length | 262,144 | 128,000 |
| Max output tokens | 262,144 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 97.7% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Kimi K2.7 Code vs GLM 4.5 — FAQ
Is Kimi K2.7 Code or GLM 4.5 cheaper?
GLM 4.5 is cheaper on a blended token mix, by about 72%. 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 Kimi K2.7 Code and GLM 4.5?
Kimi K2.7 Code: $0.0137 in / $0.0798 out per 1M tokens. GLM 4.5: $0.0059 in / $0.0216 out per 1M tokens. That's roughly a 72% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2.7 Code and GLM 4.5 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.