Kimi K2.6 vs GLM 5.3 Flash
moonshotai/kimi-k2.6 · z-ai/glm-5.3-flash
As of November 2, 2026, GLM 5.3 Flash is the cheaper API on UberLLM: $0.0003 per million input tokens and $0.0009 per million output, versus $0.0012 / $0.0064 for Kimi K2.6, about 85% 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 5.3 Flash to cut cost; choose Kimi K2.6 when its capabilities fit your task better.
Kimi K2.6 vs GLM 5.3 Flash, side by side
| Spec | Kimi K2.6 | GLM 5.3 Flash |
|---|---|---|
| Price · input / 1M | $0.0012 | $0.0003 |
| Price · output / 1M | $0.0064 | $0.0009 |
| Context length | 256,000 | 1,048,576 |
| Max output tokens | 65,536 | 131,072 |
| Input modalities | text, image | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.8% off | 99% off |
| First token, median (7 days) | — | 5.0 s (3,701 requests) |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Kimi K2.6 vs GLM 5.3 Flash — FAQ
Is Kimi K2.6 or GLM 5.3 Flash cheaper?
GLM 5.3 Flash is cheaper on a blended token mix, by about 85%. 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 K2.6 and GLM 5.3 Flash?
Kimi K2.6: $0.0012 in / $0.0064 out per 1M tokens. GLM 5.3 Flash: $0.0003 in / $0.0009 out per 1M tokens. That's roughly a 85% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2.6 and GLM 5.3 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.