Currently points to MiniMax M2.7. Middle tier for OpenClaw-style agent work: medium intelligence and cost for capable everyday tool use.
Added May 11, 2026
Context Window
204.8K
Max Output
131.1K
Input Price (Auto)
$0.32/1M
Output Price (Auto)
$1.26/1M
Cache Read (Auto)
$0.16/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
38.1
Coding Index
52.6
Agentic Index
25.9
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
87.4%
Better than 92% of models compared
HLE
Humanity's Last Exam
28.1%
Better than 92% of models compared
IFBench
Instruction-following benchmark
75.7%
Better than 93% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
84.8%
Better than 76% of models compared
AA-LCR
Long context reasoning evaluation
68.7%
Better than 92% of models compared
GDPval-AA
Economically valuable tasks
33.0%
CritPt
Research-level physics reasoning
0.6%
Coding
SciCode
Python programming for scientific computing
47.0%
Better than 92% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
39.4%
Better than 88% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
26.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
35.6%
Last updated Jun 28, 2026
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