math benchmark
STEM Leaderboard
STEM is a multimodal benchmark dataset with 448 skills and 1,073,146 questions spanning Science, Technology, Engineering, and Mathematics based on K-12 curriculum.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
STEM Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score34.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
STEM Highlights
The leading models and scores on this benchmark.
The Top AI Models for STEM
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis stem 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
- 34.00%
- 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 STEM, not total model capability
Selection summary
Best AI Models for STEM
Qwen2.5-Coder 7B Instruct currently leads STEM with 34.00%. 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.
What is STEM?
What STEM measures and how its scores work.
STEM is a benchmark dataset designed to test neural models' vision-language STEM skills across all STEM subjects.
STEM measures vision-language STEM skills covering 448 skills and questions based on K-12 curriculum.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- STEM
- 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 STEM.
Which model scores highest on STEM?
Qwen2.5-Coder 7B Instruct is currently ranked first with 34.00%.
What are the top three models on STEM?
The current leaders are Qwen2.5-Coder 7B Instruct (34.00%).
Which STEM 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 STEM 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.