MiMo-V2.6-Flash is the efficiency-balanced model in Xiaomi's MiMo-V2.6 series: a sparse Mixture-of-Experts model with 309B total and 15B activated parameters, natively omnimodal across text, image, video and audio, with a 1M-token context window. Trained with large-scale mixed reinforcement learning across coding, general agents, visual and cybersecurity tasks, it is built for agentic workloads such as long-horizon coding, tool use and computer use.
function_callinghttps://api.deepinfra.com/v1/openai/v1/chat/completions| Model | Max chars | Sample rate | Voices | Languages | Pricing |
|---|---|---|---|---|---|
| MiMo-V2.5-tts-voiceclone | — | — | — | — | — |
| MiMo-V2.5-tts-voicedesign | — | — | — | — | — |
| MiMo-V2.5-tts | — | — | — | — | — |
| MiMo-V2.5 | — | — | — | — | $0.14$0.28 |
| MiMo-V2.6-Flash | — | — | — | — | $0.14$0.28 |
| MiMo-V2.6-Pro | — | — | — | — | $0.43$0.87 |
| MiMo-V2.5-Pro | — | — | — | — | $1$3 |
/v1/models/deepinfra/XiaomiMiMo/MiMo-V2.6-FlashMiMo-V2.6-Flash is the efficiency-balanced model in Xiaomi's MiMo-V2.6 series: a sparse Mixture-of-Experts model with 309B total and 15B activated parameters, natively omnimodal across text, image, video and audio, with a 1M-token context window. Trained with large-scale mixed reinforcement learning across coding, general agents, visual and cybersecurity tasks, it is built for agentic workloads such as long-horizon coding, tool use and computer use.