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#11A+Sep 21, 2026Evidence B

MiMo-V2.6-Pro

Xiaomi · 1T total / 42B active (MoE)

Open-weight omni-modal with long context

A 1T-A42B omni-modal model released 21 September 2026, with open weights, 1M context and text/image/video/audio input. Video 94 is the joint-best open-weight video score here; perception 94 and agents 92 are also top tier, for a composite of 91.4 that replaces the previous edition’s MiMo-V2.5. Documents 92 and ecosystem 85 remain behind the Qwen family for enterprise delivery.

TextImageVideoAudioNative

Last updated Oct 21, 2026Editorial scoring

Bottom line

MiMo-V2.6-Pro is the open-weight omni-modal model to watch in late 2026: 1M context, four modalities, video 94, ¥3/1M output tokens, self-hostable weights. It suits teams with device and edge roots that need long-video processing in the cloud. The risks are a community licence that is not OSI open source and still-thin public reproduction, so evidence stays at grade B.

Eight-dimension breakdown

editorial mapping · 0–100
Perception94Document92Chart QA90Video94Agent92Generation86Chinese90Ecosystem858D
  • MiMo-V2.6-Pro91.4
Visual perception & grounding20%
94
Document parsing & Chinese OCR18%
92
Chart & document reasoning14%
90
Video & long-horizon reasoning14%
94
GUI agents & tool use14%
92
Generation & editing6%
86
Chinese context & culture6%
90
Ecosystem, cost & availability8%
85

Weights: perception 20 / documents 18 / charts 14 / video 14 / agents 14 / generation 6 / Chinese 6 / ecosystem 8. Definitions and sources on the methodology page.

Public benchmarks

as reported, not converted
Benchmark / metricValueNote
参数规模1T-A42BOfficial spec
模态4Text/image/video/audio
上下文1MOfficial spec

Public scores come from different versions and prompts and are not interchangeable with our composite; they are one evidence input.

Scenario mapping

five stress tests, one scale
ScenarioScoreObservation
Chinese receipt OCR91 · Stable on clean receipts
Chart data extraction89 · Reliable on standard charts
30-min video QA94 · Top band among open weights
Mobile GUI control90 · Well tuned to own devices
Chinese cultural context89 · Strong on everyday scenes; average academic context

Strengths and limitations

Strengths

  • Video 94 is the joint-best open-weight score, and 1M context keeps long-video QA from over-chunking.
  • Four input modalities at 1T-A42B: rare omni-modal capacity among open weights.
  • ¥3/1M output tokens with free weights keeps both edge and cloud costs down.

Limitations

  • The Xiaomi community licence is not OSI open source; commercial terms need legal review.
  • Documents 92 and ecosystem 85 trail the Qwen family on complex layouts and enterprise delivery.
  • Grade B: public benchmarks are mostly vendor-reported, with little third-party reproduction.

Price and real cost

List price

¥3/M tokens

≈ ¥3 / 1M output tokens; weights free. For 1,000 images at 1,024px, ~1,100 image tokens each and 300 output tokens, the monthly cost is about ¥1.8 (assuming input at 25% of output price).

Use your volume

About MiMo-V2.6-Pro

Is MiMo-V2.6-Pro open source?

Licence: Open weights (Xiaomi community licence). Weights are available, but check the exact terms and filing requirements before commercial use.

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

≈ ¥3 / 1M output tokens; weights free. It ranks #11 with a composite of 91.4. Real bills depend on resolution, tiling, caching and volume discounts.

What is MiMo-V2.6-Pro best for?

Long-video understanding and content tagging; Products spanning edge and cloud; Self-hosted omni-modal pipelines。

Why does MiMo-V2.6-Pro score 91.4?

The composite weights eight dimensions: perception 20%, documents 18%, charts 14%, video 14%, agents 14%, generation 6%, Chinese 6%, ecosystem 8%. Its strongest dimension is Visual perception & grounding; its weakest is Ecosystem, cost & availability.

Personal ranking · Not an official score

Every ranking, score and comparison on this page is an independent personal ranking, not an official score, and represents no vendor, institution or regulator. Scores are a subjective mapping of public evidence under our own weights — change the weights and the order changes. Disagree, or spotted a factual error? Contact the site owner: jizhi2024@foxmail.com — we check each report and log corrections in the changelog.