frontend development benchmark
Artifacts Bench Leaderboard
Artifacts Bench evaluates a model's ability to generate visual code artifacts, measuring the quality of generated interactive and visual front-end outputs from natural-language requests.
Updated Aug 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Artifacts Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score51.0% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score47.0% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelMI | Score36.4% | Percentile0.0% | Participants3 | EvidenceC | Evaluated |
Artifacts Bench Highlights
The leading models and scores on this benchmark.
Artifacts Bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Artifacts Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis artifacts bench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01BYSeed 2.1 ProByteDance
- Score
- 51.0%
Strengths
- Ranks #1 of 3 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Artifacts Bench, not total model capability
- 02BYSeed 2.1 TurboByteDance
- Score
- 47.0%
Strengths
- Ranks #2 of 3 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures Artifacts Bench, not total model capability
- 03MIMAI-Code-1-FlashMicrosoft
- Score
- 36.4%
Strengths
- Ranks #3 of 3 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures Artifacts Bench, not total model capability
Selection summary
Best AI Models for Artifacts Bench
Seed 2.1 Pro currently leads Artifacts Bench with 51.0%. 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 Artifacts Bench?
What Artifacts Bench measures and how its scores work.
Artifacts Bench evaluates a model's ability to generate visual code artifacts, measuring the quality of generated interactive and visual front-end outputs from natural-language requests.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Artifacts Bench
- Modality
- text
- Primary category
- frontend development
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- artifacts-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Artifacts Bench.
Which model scores highest on Artifacts Bench?
Seed 2.1 Pro is currently ranked first with 51.0%.
What does Artifacts Bench measure?
Artifacts Bench evaluates a model's ability to generate visual code artifacts, measuring the quality of generated interactive and visual front-end outputs from natural-language requests.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.