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xiaomi · Open weights

MiMo V2.6 Pro

Added Sep 21, 2026Open weights

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Use in the app

MiMo V2.6 Pro is Xiaomi's flagship native omnimodal model, built with 1.02T total parameters and 42B active parameters per token. It is designed for demanding coding, long-horizon agent workflows, visual tasks, research, and cybersecurity, with text, image, video, and audio understanding and a 1M-token context window.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • Audio input
  • Video input
Input
Text, Images, Video, Audio
Output
Text
Reasoning effort
none · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.44
Output
$0.87
Cache read
$0.0036
Cache write
$0.00

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
131.1K
Average output (7 days)
1.2K tokens
Longer than 76% of 465 models

Side by side

MiMo V2.6 Pro compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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MiMo V2.6 ProxiaomiThis modelClaude Sonnet 5.5AnthropicRemove
ProviderxiaomiAnthropic
Discovery tierOpen weightsFrontier
AddedSep 21, 2026Sep 28, 2026
Limits
Context window1.05MBest1M
Max output131.07KBest128K
Average output1.2K tokens523 tokens
Pricing, USD per 1M tokens
Input$0.44Best$2.00
Output$0.87Best$10.00
Cache read$0.0036Best$0.10
Cache write$0.00Best$2.50
Performance
Throughput42.8 tok/s164.3 tok/sBest
Time to first token3.2 sBest3.5 s
Request success (24h)99.8%99.8%
Benchmark indexes
Intelligence Index46.346.8Best
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputNoYes
Audio inputYesNo
Video inputYesNo
Reasoning effortnone, highlow, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • MiMo V2.6 Pro
  • Claude Sonnet 5.5

Intelligence Index

  • MiMo V2.6 Pro46.3
  • Claude Sonnet 5.546.8

MiMo V2.6 Pro: Better than 92% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • MiMo V2.6 Pro: 58.6%
    • Claude Sonnet 5.5: 59.4%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • MiMo V2.6 Pro: 25.4%
    • Claude Sonnet 5.5: 29.4%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • MiMo V2.6 Pro: 1,512 Elo
    • Claude Sonnet 5.5: 1,635 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • MiMo V2.6 Pro: 1,683 EloTop
    • Claude Sonnet 5.5: 1,548 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • MiMo V2.6 Pro: 19.2%
    • Claude Sonnet 5.5: 25.2%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • MiMo V2.6 Pro: 86.3%Top
    • Claude Sonnet 5.5: 78.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • MiMo V2.6 Pro: 12.8%
    • Claude Sonnet 5.5: 18.9%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiMo V2.6 Pro: 49.4%Top
    • Claude Sonnet 5.5: 45.8%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • MiMo V2.6 Pro: 34.8%
    • Claude Sonnet 5.5: 43.9%Top

  • SciCode

    Scientific computing in Python

    • MiMo V2.6 Pro: 60.9%Top
    • Claude Sonnet 5.5: 53.7%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiMo V2.6 Pro: 86.3%Top
    • Claude Sonnet 5.5: 78.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
42.8 tok/s
Faster than 31% of 250 models
Time to first token
3.2 s
Quicker than 55% of 250 models
Prompt cache hits
42.0%
About $0.25 per 1M input tokens with caching
Request success (24h)
99.8%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 98.6%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "xiaomi/mimo-v2.6-pro",
    "reasoning_effort": "none",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="xiaomi/mimo-v2.6-pro",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

xiaomi

Other xiaomi models, starting with the same family.