AA-LCR
Agent Arena Long Context Reasoning benchmark
Mistral Small 4 from Mistral AI currently leads the AA-LCR leaderboard with a score of 0.712 across 13 evaluated AI models.
What AA-LCR measures
AA-LCR is a text benchmark that evaluates large language models on long context and reasoning tasks. LLM Stats tracks 13 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.6, with the leader reaching 0.7.
Compare leaders on the best AI for long context and best AI for reasoning leaderboards.
Mistral Small 4 leads with 71.2%, followed by 
Kimi K2.5 at 70.0% and 
Qwen3.5-397B-A17B at 68.7%.
Progress Over Time
Interactive timeline showing model performance evolution on AA-LCR
AA-LCR Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Mistral AI | 119B | 256K | $0.15 / $0.60 | ||
| 2 | Moonshot AI | 1.0T | — | — | ||
| 3 |  Alibaba Cloud / Qwen Team | 397B | 262K | $0.60 / $3.60 | ||
| 4 | Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 5 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 6 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 7 | Alibaba Cloud / Qwen Team | 9B | — | — | ||
| 8 |  MiniMax | 230B | 1.0M | $0.30 / $1.20 | ||
| 9 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 10 | 120B | — | — | |||
| 11 | Alibaba Cloud / Qwen Team | 4B | — | — | ||
| 12 | Alibaba Cloud / Qwen Team | 2B | — | — | ||
| 13 | Alibaba Cloud / Qwen Team | 800M | — | — |
FAQ
Common questions about AA-LCR.
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