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MiMo V2.6 Flash

Added Sep 21, 2026Open weights

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Use in the app

MiMo V2.6 Flash is Xiaomi's native omnimodal 309B-parameter mixture-of-experts model, activating 15B parameters per token. It balances intelligence, efficiency, and cost for coding, general agents, visual tasks, 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
$0.14
Output
$0.28
Cache read
$0.0028
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)
818 tokens
Longer than 65% of 465 models

Side by side

MiMo V2.6 Flash 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 FlashxiaomiThis modelMiMo V2.5 Pro ThinkingxiaomiRemove
Providerxiaomixiaomi
Discovery tierOpen weightsOpen weights
AddedSep 21, 2026Jun 3, 2026
Limits
Context window1.05M1.05M
Max output131.07K131.07K
Average output818 tokens1.4K tokens
Pricing, USD per 1M tokens
Input$0.14Best$0.44
Output$0.28Best$0.87
Cache read$0.0028Best$0.0036
Cache write$0.00$0.00
Performance
Throughput102.1 tok/sBest25.9 tok/s
Time to first token2.0 sBest5.5 s
Request success (24h)99.3%99.9%Best
Benchmark indexes
Intelligence Index37.9Best26.0
Coding Index—60.2
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Structured outputYesYes
Audio inputYesNo
Video inputYesNo
Reasoning effortnone, highnone, high

Public evaluations

Benchmarks

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

  • MiMo V2.6 Flash
  • MiMo V2.5 Pro Thinking

Intelligence Index

  • MiMo V2.6 Flash37.9
  • MiMo V2.5 Pro Thinking26.0

MiMo V2.6 Flash: Better than 81% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • MiMo V2.6 Flash: —
    • MiMo V2.5 Pro Thinking: 60.2

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • MiMo V2.6 Flash: 64.1%Top
    • MiMo V2.5 Pro Thinking: 13.7%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • MiMo V2.6 Flash: 31.5%Top
    • MiMo V2.5 Pro Thinking: 2.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • MiMo V2.6 Flash: 1,488 EloTop
    • MiMo V2.5 Pro Thinking: 883 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • MiMo V2.6 Flash: 1,609 EloTop
    • MiMo V2.5 Pro Thinking: 1,121 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • MiMo V2.6 Flash: 9.0%Top
    • MiMo V2.5 Pro Thinking: 4.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • MiMo V2.6 Flash: 74.3%
    • MiMo V2.5 Pro Thinking: 79.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • MiMo V2.6 Flash: 11.7%Top
    • MiMo V2.5 Pro Thinking: 5.6%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiMo V2.6 Flash: 35.1%
    • MiMo V2.5 Pro Thinking: 35.7%Top

  • GPQA Diamond

    Graduate-level science questions

    • MiMo V2.6 Flash: —
    • MiMo V2.5 Pro Thinking: 86.6%

  • IFBench

    Following precise output instructions

    • MiMo V2.6 Flash: —
    • MiMo V2.5 Pro Thinking: 79.9%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • MiMo V2.6 Flash: 22.7%Top
    • MiMo V2.5 Pro Thinking: 0.0%

  • SciCode

    Scientific computing in Python

    • MiMo V2.6 Flash: 51.3%Top
    • MiMo V2.5 Pro Thinking: 50.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • MiMo V2.6 Flash: —
    • MiMo V2.5 Pro Thinking: 43.2%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • MiMo V2.6 Flash: —
    • MiMo V2.5 Pro Thinking: 94.2%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiMo V2.6 Flash: 74.3%
    • MiMo V2.5 Pro Thinking: 79.7%Top

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
102.1 tok/s
Faster than 63% of 250 models
Time to first token
2.0 s
Quicker than 79% of 250 models
Prompt cache hits
94.8%
About $0.0099 per 1M input tokens with caching
Request success (24h)
99.3%
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 57.3%
  • 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-flash",
    "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-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

xiaomi

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