Side-by-side comparison
MiMo-V2-Pro vs Kimi K2 0905
| MiMo-V2-Pro | Kimi K2 0905 | |
|---|---|---|
| Provider | Xiaomi | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 262,144 |
| 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 | 0.6000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.0000 | 2.5000 |
Frequently asked questions
Which is cheaper, MiMo-V2-Pro or Kimi K2 0905?
Kimi K2 0905 is cheaper than MiMo-V2-Pro on a 50/50 input/output blend by about $0.45 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 Kimi K2 0905?
MiMo-V2-Pro has the larger context window at 1M tokens versus 262k tokens for Kimi K2 0905. That means MiMo-V2-Pro can ingest about 4.0x as much text per request.
What is the difference between MiMo-V2-Pro and Kimi K2 0905?
MiMo-V2-Pro comes from Xiaomi; Kimi K2 0905 comes from MoonshotAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.