Best LLMs for Long-Context Reasoning — MoonshotAI
The best MoonshotAI model for reasoning over long inputs is Kimi K3, scoring 74.7% on long-context reasoning — a different question from how large a window it accepts. Kimi K2.6 (69.7%) and Kimi K2.7 Code (66.3%) round out the top three.
- 1
kimi-k3ReasoningToolsJSON+157.1 intel · $3.00/M · 60 t/s74.7%LCR - 2kimi-k2.6ReasoningToolsJSON+144.2 intel · $0.589/M · 92 t/s69.7%LCR
- 3kimi-k2.7-codeReasoningToolsJSON+141.9 intel · $0.730/M · 185 t/s66.3%LCR
- 4kimi-k2-thinkingReasoningToolsJSON32.7 intel · $0.600/M · 80 t/s66.3%LCR
- 5kimi-k2.5ReasoningToolsJSON+135.4 intel · $0.570/M · 49 t/s65.3%LCR
- 6kimi-k2-0905ToolsJSON23.5 intel · $0.600/M · 17 t/s52.3%LCR
- 7kimi-k2Tools19.4 intel · $0.570/M · 27 t/s51.0%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 MoonshotAI model reasons best over long inputs?
The best MoonshotAI model for reasoning over long inputs is Kimi K3, scoring 74.7% on long-context reasoning — a different question from how large a window it accepts. Kimi K2.6 (69.7%) and Kimi K2.7 Code (66.3%) round out the top three.
What's a good alternative to Kimi K3?
Kimi K2.6 (69.7%) is the closest alternative on this metric, followed by Kimi K2.7 Code (66.3%). See the full ranking above for the tradeoffs.
How many MoonshotAI models are there?
modelgrep tracks 7 MoonshotAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Kimi K3. 7 of them qualify for this ranking.