language benchmark
CommonSenseQA Leaderboard
CommonSenseQA is a multiple-choice question answering benchmark with 12,102 questions, each containing one correct answer and four distractors, based on ConceptNet concepts and requiring commonsense knowledge.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CommonSenseQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score70.40% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
CommonSenseQA Highlights
The leading models and scores on this benchmark.
The Top AI Models for CommonSenseQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis commonsenseqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMistral AI
- Score
- 70.40%
- Price
- $0.15 input / $0.15 output per 1M tokens
- Speed
- Up to 42.00 tok/s via Google
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CommonSenseQA, not total model capability
Selection summary
Best AI Models for CommonSenseQA
Mistral NeMo Instruct currently leads CommonSenseQA with 70.40%. 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 CommonSenseQA?
What CommonSenseQA measures and how its scores work.
CommonSenseQA is a language benchmark for multiple-choice question answering using questions based on ConceptNet concepts and requiring prior world knowledge.
It measures Score as a ratio for predicting correct answers that require commonsense knowledge, semantic reasoning, and understanding of conceptual relationships.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CommonSenseQA
- Modality
- text
- Primary category
- language
- 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 CommonSenseQA.
Which model scores highest on CommonSenseQA?
Mistral NeMo Instruct is currently ranked first with 70.40%.
What are the top three models on CommonSenseQA?
The current leaders are Mistral NeMo Instruct (70.40%).
Which CommonSenseQA model has the lowest official input price?
Mistral NeMo Instruct has the lowest matched official input price at $0.15 input / $0.15 output per 1M tokens.
Which models are fastest among CommonSenseQA results?
The fastest matched records are Mistral NeMo Instruct (42.00 tok/s via Google).
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.