Best LLMs for Long-Context Reasoning — MiniMax
The best MiniMax model for reasoning over long inputs is MiniMax M3, scoring 74.0% on long-context reasoning — a different question from how large a window it accepts. MiniMax M2.7 (68.7%) and MiniMax M2.5 (66.0%) round out the top three.
- 1
minimax-m3ReasoningToolsJSON+144.4 intel · $0.300/M · 87 t/s74.0%LCR - 2minimax-m2.7ReasoningToolsJSON38.1 intel · $0.270/M · 205K ctx68.7%LCR
- 3minimax-m2.5ReasoningToolsJSON33.7 intel · $0.150/M · 205K ctx66.0%LCR
- 4minimax-m2ReasoningToolsJSON28.3 intel · $0.255/M · 48 t/s61.0%LCR
- 5minimax-m2.1ReasoningToolsJSON31.4 intel · $0.300/M · 63 t/s59.0%LCR
How this is ranked
AI models ranked by LCR — reasoning accuracy over long inputs, not just the size of the window they accept. A large context window is a capacity claim; this is the measurement of whether the model can still reason over information buried deep inside it. Pair it with the longest-context ranking, which sorts on raw window size.
Frequently asked
Which MiniMax model reasons best over long inputs?
The best MiniMax model for reasoning over long inputs is MiniMax M3, scoring 74.0% on long-context reasoning — a different question from how large a window it accepts. MiniMax M2.7 (68.7%) and MiniMax M2.5 (66.0%) round out the top three.
What's a good alternative to MiniMax M3?
MiniMax M2.7 (68.7%) is the closest alternative on this metric, followed by MiniMax M2.5 (66.0%). See the full ranking above for the tradeoffs.
How many MiniMax models are there?
modelgrep tracks 8 MiniMax models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by MiniMax M3. 5 of them qualify for this ranking.