reasoning benchmark
CRAG Leaderboard
CRAG (Comprehensive RAG Benchmark) is a factual question-answering benchmark with 4,409 question-answer pairs across 5 domains and 8 question categories.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
CRAG Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM Nova ProAmazon | Score50.30% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAMNova LiteAmazon | Score43.80% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAMNova MicroAmazon | Score43.10% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
CRAG Highlights
The leading models and scores on this benchmark.
CRAG Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for CRAG
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is CRAG?
What CRAG measures and how its scores work.
CRAG (Comprehensive RAG Benchmark) evaluates retrieval-augmented generation systems for trustworthy question answering using factual questions and mock APIs that simulate web and Knowledge Graph search.
It measures performance using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CRAG
- 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 CRAG.
Which model scores highest on CRAG?
Nova Pro is currently ranked first with 50.30%.
What are the top three models on CRAG?
The current leaders are Nova Pro (50.30%), Nova Lite (43.80%), and Nova Micro (43.10%).
Which CRAG model has the lowest official input price?
Nova Micro has the lowest matched official input price at $0.04 input / $0.14 output per 1M tokens.
Which models are fastest among CRAG 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.