MiMo-V2.6-Pro vs GLM-5
xiaomi/mimo-v2.6-pro · z-ai/glm-5
As of November 5, 2026, GLM-5 is the cheaper API on UberLLM: $0.0053 per million input tokens and $0.0168 per million output, versus $0.0860 / $0.1719 for MiMo-V2.6-Pro, about 91% 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 to cut cost; choose MiMo-V2.6-Pro when context size wins. MiMo-V2.6-Pro carries the larger context window (1,048,576 vs 198,000 tokens), which can matter for long-document work.
MiMo-V2.6-Pro vs GLM-5, side by side
| Spec | MiMo-V2.6-Pro | GLM-5 |
|---|---|---|
| Price · input / 1M | $0.0860 | $0.0053 |
| Price · output / 1M | $0.1719 | $0.0168 |
| Context length | 1,048,576 | 198,000 |
| Max output tokens | 131,072 | 32,768 |
| Input modalities | text, image, video, audio | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 80.2% 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 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
MiMo-V2.6-Pro vs GLM-5 — FAQ
Is MiMo-V2.6-Pro or GLM-5 cheaper?
GLM-5 is cheaper on a blended token mix, by about 91%. 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 MiMo-V2.6-Pro and GLM-5?
MiMo-V2.6-Pro: $0.0860 in / $0.1719 out per 1M tokens. GLM-5: $0.0053 in / $0.0168 out per 1M tokens. That's roughly a 91% blended difference. Prices are live; UberLLM adds no fee.
Can I use both MiMo-V2.6-Pro and GLM-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.