long context benchmark
NoLiMa evaluated at a 32768-token context length. Tests latent associative reasoning in long contexts with minimal lexical overlap between questions and needles.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score54.5% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis nolima 32k AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
MiniCPM-SALA currently leads NoLiMa 32K with 54.5%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What NoLiMa 32K measures and how its scores work.
NoLiMa evaluated at a 32768-token context length. Tests latent associative reasoning in long contexts with minimal lexical overlap between questions and needles.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about NoLiMa 32K.
MiniCPM-SALA is currently ranked first with 54.5%.
NoLiMa evaluated at a 32768-token context length. Tests latent associative reasoning in long contexts with minimal lexical overlap between questions and needles.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.