- Intelligence
- 20.9
- Rank 234 of 747 measured models
- Output speed
- 64.5 t/s
- Rank 281 of 405 measured models
- Price/1M
- $0.525
- Rank 285 of 664 measured models
- Context window
- 205K
- Rank 615 of 1207 measured models
MiniMax-M2.1 scores 20.9 on the Artificial Analysis Intelligence Index, ranking 234th of 747 measured models. The closest models on this index are GPT-5.4 nano (20.7), GPT-5 Mini (batch) (20.6), and K2 Horizon 7B (20.6). At $0.525 per million tokens (3:1 input/output blended price), it is more expensive than GPT-5.4 nano ($0.463). With an output speed of 64.5 t/s, it is slower than GPT-5.4 nano (166 t/s).
Additional benchmarks7
Design Arena · 3d57.5%
Design Arena · Codecategories55.3%
Design Arena · Dataviz57.0%
Design Arena · Gamedev50.4%
Design Arena · Svg55.4%
Design Arena · Uicomponent60.9%
Design Arena · Website55.4%
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.
- Nemotron 3.5 Bolt 74B-A9B
NVIDIA · — · —
21.4+0.5——Compare - GPT-5.4 nano
OpenAI · $0.463 · 166 t/s
20.7−0.2$0.463166 t/sCompare - GPT-5 Mini (batch)
OpenAI · — · —
20.6−0.3——Compare - K2 Horizon 7B
Institute of Foundation Models · — · —
20.6−0.3——Compare
