Side-by-side comparison
MiMo-V2-Pro vs GLM 5 Turbo
| MiMo-V2-Pro | GLM 5 Turbo | |
|---|---|---|
| Provider | Xiaomi | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 202,752 |
| 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 → | 1.0000 | 1.2000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.0000 | 4.0000 |
Frequently asked questions
Which is cheaper, MiMo-V2-Pro or GLM 5 Turbo?
MiMo-V2-Pro is cheaper than GLM 5 Turbo on a 50/50 input/output blend by about $0.6 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, MiMo-V2-Pro or GLM 5 Turbo?
MiMo-V2-Pro has the larger context window at 1M tokens versus 203k tokens for GLM 5 Turbo. That means MiMo-V2-Pro can ingest about 5.2x as much text per request.
What is the difference between MiMo-V2-Pro and GLM 5 Turbo?
MiMo-V2-Pro comes from Xiaomi; GLM 5 Turbo comes from Z.ai. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.