MiniMax M2.1 vs GLM-5.2
minimax/minimax-m2.1 · z-ai/glm-5.2
As of October 31, 2026, MiniMax M2.1 is the cheaper API on UberLLM: $0.0004 per million input tokens and $0.0014 per million output, versus $0.0005 / $0.0990 for GLM-5.2, about 98% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose MiniMax M2.1 to cut cost; choose GLM-5.2 when context size wins. GLM-5.2 carries the larger context window (1,048,576 vs 198,000 tokens), which can matter for long-document work.
MiniMax M2.1 vs GLM-5.2, side by side
| Spec | MiniMax M2.1 | GLM-5.2 |
|---|---|---|
| Price · input / 1M | $0.0004 | $0.0005 |
| Price · output / 1M | $0.0014 | $0.0990 |
| Context length | 198,000 | 1,048,576 |
| Max output tokens | 32,768 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.9% off | 98% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
MiniMax M2.1 vs GLM-5.2 — FAQ
Is MiniMax M2.1 or GLM-5.2 cheaper?
MiniMax M2.1 is cheaper on a blended token mix, by about 98%. 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 M2.1 and GLM-5.2?
MiniMax M2.1: $0.0004 in / $0.0014 out per 1M tokens. GLM-5.2: $0.0005 in / $0.0990 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.
Can I use both MiniMax M2.1 and GLM-5.2 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.