MiMo V2.6 Pro
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
- Vision
- Audio Input
- Video Input
- Tool Calling
- Structured Output
Added Sep 21, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.43
- Output
- $0.87
- Cache read
- $0.0036
Specifications
- Context window
- 1M
- Max output
- 131.1K
- Parameters
- 1T / 42B
- Total / active
- Avg output (7d)
- 1.2K tokens
- Longer than 78% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
46.3
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
58.6%
Better than 82% 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)
1516 Elo
Better than 88% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1686 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 85% of models compared
SciCode
Python programming for scientific computing
60.9%
Better than 96% 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
59.2%
Last updated Oct 14, 2026
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