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.
Added Sep 21, 2026
Model weightsContext Window
1.0M
Max Output
131.1K
Avg output tokens (7d)
1.4K tokens
Input Price (Auto)
$0.43/1M
Output Price (Auto)
$0.87/1M
Cache Read (Auto)
$0.0036/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
46.3
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
58.6%
Better than 83% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
25.4%
Better than 35% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1520 Elo
Better than 88% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1678 Elo
Better than 96% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
19.2%
Better than 68% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
86.3%
Better than 99% of models compared
MLCR-AA
Medical long-context reasoning
18.3%
Better than 63% of models compared
Reasoning
HLE
Humanity's Last Exam
49.4%
Better than 96% of models compared
CritPt
Research-level physics reasoning
26.6%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
34.8%
Better than 84% of models compared
SciCode
Python programming for scientific computing
60.9%
Better than 97% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
34.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
40.6%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
86.3%
Better than 99% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
58.9%
Last updated Oct 1, 2026
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