MiniMax M3 vs GLM 4.5 Air
minimax/minimax-m3 · z-ai/glm-4.5-air
As of November 4, 2026, GLM 4.5 Air is the cheaper API on UberLLM: $0.0001 per million input tokens and $0.0008 per million output, versus $0.0170 / $0.0682 for MiniMax M3, 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 GLM 4.5 Air to cut cost; choose MiniMax M3 when context size wins. MiniMax M3 carries the larger context window (200,000 vs 128,000 tokens), which can matter for long-document work.
MiniMax M3 vs GLM 4.5 Air, side by side
| Spec | MiniMax M3 | GLM 4.5 Air |
|---|---|---|
| Price · input / 1M | $0.0170 | $0.0001 |
| Price · output / 1M | $0.0682 | $0.0008 |
| Context length | 200,000 | 128,000 |
| Max output tokens | 32,768 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | — | Yes |
| % off list | 94.3% off | 99.9% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
MiniMax M3 vs GLM 4.5 Air — FAQ
Is MiniMax M3 or GLM 4.5 Air cheaper?
GLM 4.5 Air 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 MiniMax M3 and GLM 4.5 Air?
MiniMax M3: $0.0170 in / $0.0682 out per 1M tokens. GLM 4.5 Air: $0.0001 in / $0.0008 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both MiniMax M3 and GLM 4.5 Air 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.