XiaomiMiMoListed Sep 22, 2026

MiMo-V2.6-Flash

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…

Source description

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.

Context window1M
Provider endpoints1
Benchmark results0
Measured performance

Benchmark results

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Model specifications

Developer
XiaomiMiMo
Modality
Language
Context
1,048,576 tokens
Maximum output
Not reported
Weights
Not reported
Provider listed
Sep 22, 2026
First discovered
Oct 16, 2026

Exact identities

  • deepinfraXiaomiMiMo/MiMo-V2.6-Flash

Sources

Updated Oct 17, 2026

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MiMo-V2.6-Pro

MiMo-V2.6-Pro is the flagship of Xiaomi's MiMo-V2.6 series: a sparse Mixture-of-Experts model with 1.02T total and 42B activated parameters, natively omnimodal across text, image, video and audio, with a…

1M contextNo reported score
No reported score
$0.43in$0.87out/ 1M tokens · USDDeepInfra