MiniMax-M1 is a hybrid MoE reasoning model with 40K thinking budget. World's first open-weight, large-scale hybrid-attention model with lightning attention for efficient test-time compute scaling. Excels at complex tasks requiring extensive reasoning.
Added Jan 8, 2025
Context Window
1.0M
Max Output
131.1K
Input Price (Auto)
$0.14/1M
Output Price (Auto)
$1.33/1M
Cache Read (Auto)
$0.070/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from LMArena.
Arena Score
1363.3
Overall Rank
#180 / 389
Votes
35,269
Confidence Interval
1359.0 - 1367.5
Category Scores
Coding
#175 / 384
6,507 votes
1415.7
Math
#171 / 374
1,783 votes
1370.7
Longer Query
#186 / 367
7,101 votes
1362.5
Creative Writing
#191 / 387
4,561 votes
1317.6
Instruction Following
#186 / 389
8,788 votes
1345.3
Hard Prompts
#179 / 389
15,925 votes
1380.1
Additional Categories22
French
#134 / 271
426 votes
1410.6
German
#151 / 293
832 votes
1359.2
Polish
#159 / 215
3,498 votes
1353.1
Industry Mathematical
#166 / 368
1,778 votes
1378.0
Industry Medicine And Healthcare
#170 / 357
2,129 votes
1392.7
Spanish
#171 / 272
725 votes
1354.4
English
#176 / 389
16,872 votes
1383.9
Industry Life And Physical And Social Science
#178 / 387
5,909 votes
1381.2
Korean
#178 / 264
639 votes
1274.2
Industry Entertainment And Sports And Media
#179 / 387
6,322 votes
1325.4
Industry Software And It Services
#179 / 389
11,715 votes
1402.0
Chinese
#180 / 360
1,843 votes
1383.4
Exclude Ties
#180 / 389
24,829 votes
1328.5
Multi Turn
#183 / 387
5,728 votes
1356.1
Hard Prompts English
#184 / 388
8,188 votes
1393.2
Expert
#185 / 339
1,646 votes
1363.3
Russian
#185 / 352
1,931 votes
1348.6
Non English
#187 / 389
18,388 votes
1338.7
Industry Business And Management And Financial Operations
#188 / 382
6,149 votes
1351.7
Industry Legal And Government
#189 / 361
2,449 votes
1365.9
Industry Writing And Literature And Language
#193 / 388
7,841 votes
1331.2
Japanese
#193 / 256
777 votes
1225.6
Published 2026-08-12 · Matched as minimax-m1
LMArena DatasetProviders
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Related text models
Compare MiniMax M1 with similar models from the same provider or model family.
MiniMax M3
minimax/minimax-m3MiniMax M3 is the non-thinking route for MiniMax's open-weights frontier model, built for coding, agent workflows, tool use, and multimodal understanding from step zero. It keeps native thinking disabled for faster direct answers. MiniMax reports 59.0% on SWE-Bench Pro and 66.0% on Terminal Bench 2.1, with Sparse Attention designed to scale context to 1M. It starts with a 512K context cap on NanoGPT for now.
MiniMax M3 Thinking
minimax/minimax-m3:thinkingMiniMax M3 Thinking is the adaptive-thinking version of MiniMax's open-weights frontier model for coding, agent workflows, tool use, long-context tasks, and native multimodal understanding. MiniMax reports 59.0% on SWE-Bench Pro and 66.0% on Terminal Bench 2.1, with Sparse Attention designed to scale context to 1M. It starts with a 512K context cap on NanoGPT for now.
MiniMax Latest
minimax/minimax-latestCompatibility alias that routes to the newest MiniMax text model. Currently routes to MiniMax M3 (adaptive thinking).
MiniMax M2.7
minimax/minimax-m2.7MiniMax M2.7 is the first model deeply involved in iterating on its own training. It excels in real-world software engineering (SWE-Pro 56.22%), end-to-end project delivery (VIBE-Pro 55.6%), and complex office workflows with strong tool-use compliance and agentic capabilities.
MiniMax M2.7 Turbo
minimax/minimax-m2.7-turboMiniMax M2.7 Turbo is the highspeed and higher priced route for M2.7.
MiniMax M2.5
minimax/minimax-m2.5MiniMax M2.5 is a productivity-focused flagship model that builds on M2.1 with stronger coding and real-world office workflow performance (Word, Excel, PowerPoint), plus better tool-use planning and token efficiency.