MiniMax-M1 with 80K thinking budget. Enhanced version of the hybrid MoE reasoning model with double the thinking capacity. Ideal for extremely complex software engineering, tool use, and long context tasks.
Added Jan 8, 2025
Context Window
1.0M
Max Output
131.1K
Input Price (Auto)
$0.61/1M
Output Price (Auto)
$2.42/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
11.7
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
34.2%
Better than 42% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
57.7%
Better than 50% of models compared
Reasoning
HLE
Humanity's Last Exam
8.9%
Better than 48% of models compared
IFBench
Instruction-following benchmark
41.8%
Better than 43% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
3.0%
Better than 23% of models compared
LiveCodeBench
Contamination-free coding benchmark
71.1%
Better than 81% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
61.0%
Better than 57% of models compared
AIME
American Invitational Mathematics Examination
84.7%
Better than 92% of models compared
Math-500
Diverse mathematical problem solving benchmark
98.0%
Better than 91% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
81.6%
Better than 76% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
69.7%
Better than 48% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
57.7%
Better than 50% of models compared
Last updated Oct 1, 2026
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