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Artifacts Bench

Progress Over Time

Interactive timeline showing model performance evolution on Artifacts Bench

State-of-the-art frontier
Open
Proprietary

Artifacts Bench Leaderboard

4 models
ContextCostLicense
1
InclusionAI
InclusionAI
124B131K$0.06 / $0.18
2
ByteDance
ByteDance
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3———
4———
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About this benchmark

What is Artifacts Bench?

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.

Artifacts Bench is a text benchmark evaluating models on frontend development and code tasks. LLM Stats tracks 4 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.8.

Compare leaders on the best AI for frontend development and best AI for code leaderboards.

Current leaders

Ling 3.0 Flash from InclusionAI currently leads the Artifacts Bench leaderboard with a score of 0.770 across 4 evaluated AI models.

1Ling 3.0 FlashInclusionAI77.0%
2Seed 2.1 ProByteDance51.0%
3Seed 2.1 TurboByteDance47.0%

FAQ

Common questions about the Artifacts Bench benchmark and leaderboard.

What is the Artifacts Bench benchmark?

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.

What is the Artifacts Bench leaderboard?

The Artifacts Bench leaderboard ranks 4 AI models based on their performance on this benchmark. Currently, Ling 3.0 Flash by InclusionAI leads with a score of 0.770. The average score across all models is 0.528.

What is the highest Artifacts Bench score?

The highest Artifacts Bench score is 0.770, achieved by Ling 3.0 Flash from InclusionAI.

How many models are evaluated on Artifacts Bench?

4 models have been evaluated on the Artifacts Bench benchmark, with 0 verified results and 4 self-reported results.

What categories does Artifacts Bench cover?

Artifacts Bench is categorized under frontend development and code. The benchmark evaluates text models.

Which model offers the best value on Artifacts Bench?

Among models scoring within 10% of the leader, Ling 3.0 Flash from InclusionAI is the cheapest, at $0.06 per million input tokens with a score of 0.770.

How recent are the Artifacts Bench leaderboard results?

The Artifacts Bench leaderboard was last updated in October 2026 and currently includes 4 evaluated models.