MiMo-V2-Omni vs Kimi K2.5
MiMo-V2-Omni
Kimi K2.5
| MiMo-V2-Omni | Kimi K2.5 | |
|---|---|---|
| Provider | Xiaomi | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 262,144 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.4000 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 2.0000 | 1.9000 |
Frequently asked questions
Which is cheaper, MiMo-V2-Omni or Kimi K2.5?
Kimi K2.5 is cheaper than MiMo-V2-Omni on a 50/50 input/output blend by about $0.05 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
What is the difference between MiMo-V2-Omni and Kimi K2.5?
MiMo-V2-Omni comes from Xiaomi; Kimi K2.5 comes from MoonshotAI. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.