Kimi K2 Thinking vs GLM 5V Turbo
moonshotai/kimi-k2-thinking · z-ai/glm-5v-turbo
As of November 5, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0059 per million input tokens and $0.0248 per million output, versus $0.6816 / $2.27 for GLM 5V Turbo, about 99% 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 Thinking to cut cost; choose GLM 5V Turbo when its capabilities fit your task better.
Kimi K2 Thinking vs GLM 5V Turbo, side by side
| Spec | Kimi K2 Thinking | GLM 5V Turbo |
|---|---|---|
| Price · input / 1M | $0.0059 | $0.6816 |
| Price · output / 1M | $0.0248 | $2.27 |
| Context length | 256,000 | 200,000 |
| Max output tokens | 65,536 | 32,768 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 99% off | 43.2% 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 Thinking vs GLM 5V Turbo — FAQ
Is Kimi K2 Thinking or GLM 5V Turbo cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 99%. 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 5V Turbo?
Kimi K2 Thinking: $0.0059 in / $0.0248 out per 1M tokens. GLM 5V Turbo: $0.6816 in / $2.27 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2 Thinking and GLM 5V Turbo 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.