MiMo V2.6 Flash
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
- Vision
- Audio Input
- Video Input
- Tool Calling
- Structured Output
Added Sep 21, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.14
- Output
- $0.28
- Cache read
- $0.0028
Specifications
- Context window
- 1M
- Max output
- 131.1K
- Parameters
- 309B / 15B
- Total / active
- Avg output (7d)
- 1K tokens
- Longer than 73% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
26.7
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
64.1%
Better than 90% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
31.5%
Better than 87% of models compared
AA-Briefcase v1.1
Agentic knowledge work (Elo)
1487 Elo
Better than 84% of models compared
GDPval-AA v2.1
Economically valuable tasks (Elo)
1614 Elo
Better than 89% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
9.0%
Better than 37% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
74.3%
Better than 70% of models compared
MLCR-AA
Medical long-context reasoning
11.7%
Better than 39% of models compared
Reasoning
HLE
Humanity's Last Exam
35.1%
Better than 81% of models compared
CritPt
Research-level physics reasoning
12.0%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
22.7%
Better than 72% of models compared
SciCode
Python programming for scientific computing
51.3%
Better than 57% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
27.2%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
52.2%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
74.3%
Better than 70% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
55.8%
Last updated Nov 1, 2026
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