A multimodal coding benchmark for turning visual designs into working frontend implementations.
BenchLM is tracking Design2Code in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
BenchLM mirrors the published tracked score view for Design2Code. GLM-5V-Turbo leads the public snapshot at 94.8% , followed by Kimi K2.5 (91.3%) and Claude Opus 4.6 (77.3%). BenchLM does not use these results to rank models overall.
GLM-5V-Turbo
Z.AI
glm-5v-turbo
Kimi K2.5
Moonshot AI
kimi-k2-5
Claude Opus 4.6
Anthropic
claude-opus-4-6
The published Design2Code snapshot is tightly clustered at the top: GLM-5V-Turbo sits at 94.8%, while the third row is only 17.5 points behind. The broader top-10 spread is 17.5 points, so the benchmark still separates strong models even when the leaders cluster.
3 models have been evaluated on Design2Code. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. Design2Code is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Design-to-code tasks
Format
Visual input to frontend implementation
Difficulty
Multimodal coding
BenchLM stores Design2Code as a display-only screenshot-to-code reference rather than a weighted multimodal ranking input.
Version
Design2Code 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A multimodal coding benchmark for turning visual designs into working frontend implementations.
GLM-5V-Turbo currently leads the published Design2Code snapshot with a tracked score of 94.8%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
3 AI models are included in BenchLM's mirrored Design2Code snapshot, based on the public leaderboard captured on April 16, 2026.
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