Kimi K2 Thinking vs GLM 4.7 Flash
moonshotai/kimi-k2-thinking · z-ai/glm-4.7-flash
As of November 3, 2026, GLM 4.7 Flash is the cheaper API on UberLLM: $0.0003 per million input tokens and $0.0020 per million output, versus $0.0059 / $0.0248 for Kimi K2 Thinking, about 92% 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 4.7 Flash to cut cost; choose Kimi K2 Thinking when context size wins. Kimi K2 Thinking carries the larger context window (256,000 vs 198,000 tokens), which can matter for long-document work.
Kimi K2 Thinking vs GLM 4.7 Flash, side by side
| Spec | Kimi K2 Thinking | GLM 4.7 Flash |
|---|---|---|
| Price · input / 1M | $0.0059 | $0.0003 |
| Price · output / 1M | $0.0248 | $0.0020 |
| Context length | 256,000 | 198,000 |
| Max output tokens | 65,536 | 4,096 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99% off | 99.5% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Kimi K2 Thinking vs GLM 4.7 Flash — FAQ
Is Kimi K2 Thinking or GLM 4.7 Flash cheaper?
GLM 4.7 Flash is cheaper on a blended token mix, by about 92%. 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 Thinking and GLM 4.7 Flash?
Kimi K2 Thinking: $0.0059 in / $0.0248 out per 1M tokens. GLM 4.7 Flash: $0.0003 in / $0.0020 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2 Thinking and GLM 4.7 Flash 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.