MiMo V2.5 is Xiaomi's full-modal understanding model for agent workflows. It supports tool calling, structured outputs, and web search with up to 1M context.
Added Apr 22, 2026
Model weightsContext Window
1.0M
Max Output
131.1K
Avg output tokens (7d)
1.0K tokens
Input Price (Auto)
$0.15/1M
Output Price (Auto)
$0.29/1M
Cache Read (Auto)
$0.0029/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
40.1
Coding Index
56.8
Agentic Index
24.4
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
84.9%
Better than 87% of models compared
HLE
Humanity's Last Exam
25.2%
Better than 88% of models compared
IFBench
Instruction-following benchmark
67.1%
Better than 80% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
90.6%
Better than 85% of models compared
AA-LCR
Long context reasoning evaluation
62.7%
Better than 79% of models compared
GDPval-AA
Economically valuable tasks
32.5%
CritPt
Research-level physics reasoning
3.7%
Coding
SciCode
Python programming for scientific computing
43.1%
Better than 86% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
41.7%
Better than 90% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
16.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
31.9%
Last updated Jun 28, 2026
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