MiniMax M2 vs GLM 4.7 Flash
minimax/minimax-m2 · 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 $0.0023 / $0.0093 for MiniMax M2, about 79% 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 MiniMax M2 when context size wins. MiniMax M2 carries the larger context window (1,000,000 vs 198,000 tokens), which can matter for long-document work.
MiniMax M2 vs GLM 4.7 Flash, side by side
| Spec | MiniMax M2 | GLM 4.7 Flash |
|---|---|---|
| Price · input / 1M | $0.0023 | $0.0003 |
| Price · output / 1M | $0.0093 | $0.0020 |
| Context length | 1,000,000 | 198,000 |
| Max output tokens | 8,000 | 4,096 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 99.1% 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?
MiniMax M2 vs GLM 4.7 Flash — FAQ
Is MiniMax M2 or GLM 4.7 Flash cheaper?
GLM 4.7 Flash is cheaper on a blended token mix, by about 79%. 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 M2 and GLM 4.7 Flash?
MiniMax M2: $0.0023 in / $0.0093 out per 1M tokens. GLM 4.7 Flash: $0.0003 in / $0.0020 out per 1M tokens. That's roughly a 79% blended difference. Prices are live; UberLLM adds no fee.
Can I use both MiniMax M2 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.