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MiMo-V2.6-Flash benchmarks, pricing and specs

MiMo-V2.6-Flash is a Xiaomi MiMo model released on September 22, 2026 that takes text, image, audio and video input and produces text. It costs $0.14 per 1M input tokens and $0.28 per 1M output tokens and accepts up to 1,000,000 tokens of context. It scores 1451 Elo on Arena Text, #35 of 49 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$0.14
Per 1M output tokens
$0.28
Context window
1M
Arena Text
1451 Elo · #35/49

Data verified October 13, 2026 · Dataset 2026-10-13

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Key facts

Provider
Xiaomi MiMo
Model family
MiMo-V2.6
Release date
September 22, 2026
Status
Current
Access
API and open weights
API model id
mimo-v2.6-flash
Context window
1,000,000 tokens
Max output
128,000 tokens
Input
text, image, audio, video
Output
text
Task families
text, multimodal
Declared capabilities
reasoning, agentic coding, image understanding, video understanding, audio understanding

MiMo-V2.6-Flash pricing

It is the #4 cheapest of 47 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$0.14standardCurrent
1M output tokens$0.28standardCurrent
1M input tokens$0.0028cachedCurrent
1M input tokens$0.07batchCurrent
1M output tokens$0.14batchCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Xiaomi MiMo's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1451 Elo#35 of 49October 8, 2026Arena · 2026-10-12

Strengths, cautions and best uses

Strengths

  • Xiaomi reports 87.6 on Terminal Bench 2.1, close to the Pro model at a third of the price
  • A 309B-parameter mixture-of-experts model with 15B active, taking text, image, video and audio with a 1M-token context
  • $0.14 input and $0.28 output per 1M tokens on the overseas API, halved on the Batch API

Cautions

  • Xiaomi's own table puts it well behind the Pro model on exploitation tasks (ExploitBench 25.3 against 47.9)
  • The API checkpoint (RL or MOPD weights) is not identified

Best for

  • High-frequency multimodal calls
  • Low-cost agent workloads

Alternatives to MiMo-V2.6-Flash

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare MiMo-V2.6-Flash with

Other MiMo-V2.6 models

MiMo-V2.6-Flash FAQ

How much does MiMo-V2.6-Flash cost?

MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 per 1M output tokens at the standard tier. It is the #4 cheapest of 47 current text models priced per 1M input tokens. Source: Xiaomi, verified October 13, 2026.

What is the context window of MiMo-V2.6-Flash?

MiMo-V2.6-Flash accepts up to 1,000,000 tokens of context. It can return up to 128,000 tokens in one response. That ranks #25 of 57 current text models by context length.

How does MiMo-V2.6-Flash score on independent benchmarks?

MiMo-V2.6-Flash scores 1451 Elo on Arena Text, #35 of 49 current models (Arena, measured October 8, 2026). These are independent evaluations, not Xiaomi MiMo's own launch figures.

Is MiMo-V2.6-Flash open source or API only?

MiMo-V2.6-Flash is available both through Xiaomi MiMo's API and as open weights you can run yourself.

What are the best alternatives to MiMo-V2.6-Flash?

The closest current alternatives by price and measured performance are GPT-6 Luna (29% cheaper per 1M input tokens, $0.10 vs $0.14), GLM-5.3-Flash (7% more per 1M input tokens, $0.15 vs $0.14), GPT-4.1 nano (29% cheaper per 1M input tokens, $0.10 vs $0.14) and Claude Haiku 5.5 (29% cheaper per 1M input tokens, $0.10 vs $0.14).

Sources

Cite this page

Van Data Team. "MiMo-V2.6-Flash Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-13. https://vandatateam.com/ai-model-benchmarks/mimo-v2-6-flash

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Production evaluation

Deciding whether MiMo-V2.6-Flash fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls