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.
Added Sep 21, 2026
Model weightsContext Window
1.0M
Max Output
131.1K
Avg output tokens (7d)
1.3K tokens
Input Price (Auto)
$0.14/1M
Output Price (Auto)
$0.28/1M
Cache Read (Auto)
$0.0028/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
37.9
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
64.1%
Better than 92% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1499 Elo
Better than 85% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1600 Elo
Better than 91% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
9.0%
Better than 38% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
74.3%
Better than 72% of models compared
Reasoning
HLE
Humanity's Last Exam
35.1%
Better than 83% of models compared
CritPt
Research-level physics reasoning
12.0%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
22.7%
Better than 76% of models compared
SciCode
Python programming for scientific computing
51.3%
Better than 59% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
27.0%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
54.4%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
74.3%
Better than 72% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
55.0%
Last updated Oct 2, 2026
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