Side-by-side comparison
GLM 5.1 vs MiMo-V2.5-Pro
| GLM 5.1 | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Z.ai | Xiaomi |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 202,752 | 1,048,576 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.9800 | 1.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.0800 | 3.0000 |
Frequently asked questions
Which is cheaper, GLM 5.1 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper than GLM 5.1 on a 50/50 input/output blend by about $0.03 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, GLM 5.1 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the larger context window at 1M tokens versus 203k tokens for GLM 5.1. That means MiMo-V2.5-Pro can ingest about 5.2x as much text per request.
What is the difference between GLM 5.1 and MiMo-V2.5-Pro?
GLM 5.1 comes from Z.ai; MiMo-V2.5-Pro comes from Xiaomi. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.