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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 473 models

Side by side

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TryGrok 4.7Claude Sonnet 5.5GPT 5.6 SolAll 3

Public evaluations

Benchmarks

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

Intelligence Index

46.3

Better than 92% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    58.6%

    Workflow automation, penalized for guardrail violations

    Better than 76% of 173 scored models

  • AutomationBench-AA tasks completed

    25.4%

    Workflows finished end to end without a guardrail violation

    Better than 73% of 173 scored models

  • AA-Briefcasev1.1

    1,512 Elo

    Agentic knowledge work, rated head to head

    Better than 87% of 166 scored models

  • GDPval-AAv2.1

    1,683 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 93% of 187 scored models

Document reasoning

  • GDP.pdf

    19.2%

    Professional reasoning over PDF documents, all-pass rate

    Better than 74% of 171 scored models

  • AA-LCRv1.1

    86.3%

    Reasoning across long documents

    Better than 97% of 309 scored models

  • MLCR-AA

    12.8%

    Long-context reasoning over medical records

    Better than 57% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    49.4%

    Expert-level questions across academic fields

    Better than 93% of 323 scored models

Coding

  • Terminal-Benchv4.0

    34.8%

    Practical software engineering in a terminal

    Better than 83% of 171 scored models

  • SciCode

    60.9%

    Scientific computing in Python

    Better than 97% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    86.3%

    Long-context reasoning, earlier grading

    Better than 97% of 309 scored models

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
34.8 tok/s
Faster than 24% of 256 models
Time to first token
3.7 s
Quicker than 42% of 256 models
Prompt cache hits
40.3%
About $0.26 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

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