llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

math benchmark

OlympiadBench Leaderboard

OlympiadBench is a benchmark of 8,476 bilingual math and physics problems from international and Chinese Olympiads and the Chinese college entrance exam, including text-only and multimodal problems in English and Chinese.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Top models
  • About
  • FAQ

OlympiadBench Ranking

Higher score ranks better on this benchmark.

1 row
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQvQ-72B-PreviewAlibaba Cloud / Qwen TeamScore20.40%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

OlympiadBench Highlights

The leading models and scores on this benchmark.

Rank #1QvQ-72B-Preview20.40%

The Top AI Models for OlympiadBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis olympiadbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Alibaba Cloud / Qwen Team
    Score
    20.40%

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures OlympiadBench, not total model capability

Selection summary

Best AI Models for OlympiadBench

QvQ-72B-Preview currently leads OlympiadBench with 20.40%. 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 OlympiadBench?

What OlympiadBench measures and how its scores work.

OlympiadBench is a benchmark comprising 8,476 math and physics problems with expert-level annotations for step-by-step reasoning, sourced from international and Chinese Olympiads and the Chinese college entrance exam.

It measures performance using the Score metric, reported as a ratio, on text-only and multimodal problems in English and Chinese.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
OlympiadBench
Modality
multimodal
Primary category
math
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 OlympiadBench.

Which model scores highest on OlympiadBench?

QvQ-72B-Preview is currently ranked first with 20.40%.

What are the top three models on OlympiadBench?

The current leaders are QvQ-72B-Preview (20.40%).

Which OlympiadBench model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among OlympiadBench 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.

What does OlympiadBench measure?

It measures performance using the Score metric, reported as a ratio, on text-only and multimodal problems in English and Chinese.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

QvQ-72B-Preview
Benchmark rank #1QvQ-72B-Preview20.40%