language benchmark
COLLIE is a grammar-based framework for constructing constrained text generation tasks, with the COLLIE-v1 dataset containing 2,080 instances across 13 constraint structures.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score99.00% | Percentile100.00% | Participants10 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score98.70% | Percentile88.89% | Participants10 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score98.40% | Percentile77.78% | Participants10 | EvidenceC | Evaluated |
| Rank04 | ModelMA | Score95.80% | Percentile66.67% | Participants10 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score72.30% | Percentile55.56% | Participants10 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score65.80% | Percentile44.44% | Participants10 | EvidenceC | Evaluated |
| Rank07 | ModelMA | Score62.90% | Percentile33.33% | Participants10 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score61.00% | Percentile22.22% | Participants10 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score54.60% | Percentile11.11% | Participants10 | EvidenceC | Evaluated |
| Rank10 | ModelOP | Score42.50% | Percentile0.00% | Participants10 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading 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.
What COLLIE measures and how its scores work.
COLLIE is a grammar-based framework for systematically constructing constrained text generation tasks across language understanding, logical reasoning, and semantic planning.
COLLIE reports a Score measured as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about COLLIE.
GPT-5 is currently ranked first with 99.00%.
The current leaders are GPT-5 (99.00%), o3-mini (98.70%), and o3 (98.40%).
GPT-4.1 nano has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
The fastest matched records are GPT-4.1 mini (467.39 tok/s via OpenAI), Mistral Small 4 (163.71 tok/s via Mistral AI), and GPT-4.1 nano (138.14 tok/s via OpenAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
COLLIE reports a Score measured as a ratio.
Yes. Higher values rank better for this benchmark.
10 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis collie AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
GPT-5 currently leads COLLIE with 99.00%. 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.