reasoning benchmark
CRUXEval-Input-CoT Leaderboard
CRUXEval-Input-CoT is a CRUXEval task that uses Chain of Thought (CoT) prompting to predict the appropriate input for a Python function from its expected output.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CRUXEval-Input-CoT Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score56.50% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
CRUXEval-Input-CoT Highlights
The leading models and scores on this benchmark.
The Top AI Models for CRUXEval-Input-CoT
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis cruxeval-input-cot AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 56.50%
- Price
- $0.14 input / $0.29 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CRUXEval-Input-CoT, not total model capability
Selection summary
Best AI Models for CRUXEval-Input-CoT
Qwen2.5-Coder 7B Instruct currently leads CRUXEval-Input-CoT with 56.50%. 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 is CRUXEval-Input-CoT?
What CRUXEval-Input-CoT measures and how its scores work.
CRUXEval-Input-CoT is part of the CRUXEval benchmark and consists of 800 Python functions, each 3-13 lines long, for code reasoning, understanding, and execution evaluation.
It measures performance in predicting the appropriate input for a given Python function and expected output using chain-of-thought reasoning, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CRUXEval-Input-CoT
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CRUXEval-Input-CoT.
Which model scores highest on CRUXEval-Input-CoT?
Qwen2.5-Coder 7B Instruct is currently ranked first with 56.50%.
What are the top three models on CRUXEval-Input-CoT?
The current leaders are Qwen2.5-Coder 7B Instruct (56.50%).
Which CRUXEval-Input-CoT model has the lowest official input price?
Qwen2.5-Coder 7B Instruct has the lowest matched official input price at $0.14 input / $0.29 output per 1M tokens.
Which models are fastest among CRUXEval-Input-CoT results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.