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Xiaomi MiMo

MiMo-V2-Flash

The English MiMo blog introduces MiMo-V2-Flash as a globally available open-weight foundation language model. Xiaomi describes it as a 309B-total-parameter, 15B-active-parameter Mixture-of-Experts model with hybrid attention, hybrid thinking mode, 256K context, 150 tokens-per-second inference and low API pricing. The release is available through Hugging Face, the MiMo API Platform and MiMo AI Studio.

Globally availableFull English UIPublic APIFreemiumTrusted

Quick answers

At a glance

Overview
Xiaomi's open-weight fast MoE model for reasoning, coding, agentic workflows and 256K-context tasks.
Best fit
Teams evaluating a low-cost open-weight Chinese model for coding agents, long-context tasks and API/self-hosted comparison.
Trust
4/4 sources verified, recently checked · 2026-05-17
Coverage
100/100

Editorial verdict

Best for

Teams evaluating a low-cost open-weight Chinese model for coding agents, long-context tasks and API/self-hosted comparison.

Avoid if

Avoid using release benchmarks as the only acceptance criterion for production workloads.

Why it matters

MiMo-V2-Flash gives MiMo a concrete English-documented open-weight anchor with price, context, test and deployment details.

Pricing

$0.1 input / $0.3 output per 1M tokens listed in the English release blog

Payment

API Platform billing, AI Studio, Hugging Face self-hosting

Commercial use

Commercial use should follow the current product, API, model license and billing terms.

Privacy

Review prompt, file, media upload, retention and training-use terms before sensitive workloads.

Use-case fit

Coding agents

Strong

The release calls out Claude Code, Cursor and Cline-style coding workflows.

Low-cost API comparison

Strong

Use the published $0.1/$0.3 per-1M-token reference to compare against DeepSeek, Qwen and Kimi pricing.

Self-hosted open-weight evaluation

Medium

Hugging Face weights and SGLang inference support make it relevant for local deployment experiments.

Global user checklist

RegistrationConfirmedAvailable through API Platform and AI Studio links in the official release.
English UIConfirmedThe release blog and linked access paths are English-facing.
API and docsPartialRelease-level pricing and access are public; platform-specific API parameters still need account verification.
Commercial useConfirmedThe release states Hugging Face weights are available under the MIT license.
Coverage · 100/100

Model names, quotas, release status, regional access and commercial terms can change quickly; recheck official sources before procurement or production use.

Pros

  • - 309B total parameters with 15B active parameters
  • - 256K context, hybrid thinking mode and coding-agent positioning
  • - MIT-licensed weights and Day 0 SGLang inference contribution

Cons

  • - Release claims should be rechecked against independent tests before procurement
  • - Hosted API availability can differ from open-source self-hosting

Decision paths

deepseek-v4-api

qwen

kimi-k2-api

Sources

Introducing MiMo-V2-Flash

official · en · verified 2026-05-17

Official release with model architecture, pricing, tests, access paths and open-source notes.

MiMo-V2-Flash Hugging Face

other · en · verified 2026-05-17

Model weight entry linked from the release.

MiMo API Platform

docs · en · verified 2026-05-17

Official hosted API access path linked from the release.

MiMo AI Studio

other · en · verified 2026-05-17

Official chat and studio access path linked from the release.

Reviews