Best rendered UI
GPT-5.6 Sol1,415 UI score
Highest conservative Website Arena score
Best AI for UI design in 2026
GPT-5.6 Sol is the best-ranked AI model for UI design in the live Website Arena, with a score of 1,415 from blind comparisons of working React interfaces.
Hierarchy
Density
Structure- ranked models
- 10
- model match records
- 1,782
- website + coding
- 2 signals
- last reviewed
- September 5, 2026
Reviewed by Jonathan Chavez · 1,782 model match records from the Website Arena plus coding-index evidenceSources & review
Review boundary
Arena methodology reviewed internally; not independently reviewed by a practicing product designer or accessibility specialist.
Scope and disclosure
This page ranks underlying models for coded interface generation, not design applications, image generators, or autonomous product-design services. LLM Stats accepts no payment for ranking position. Read the methodology or report a correction.
Which AI should you choose for UI design?
Start with the arena winner for rendered quality. Prefer the most-compared model when evidence depth matters, check coding strength for production work, and treat price as a constraint—not a quality score.
Deepest evidence
Claude Opus 4.6654 comparisons
Most blind model matches in this ranking
Strongest code check
GPT-5.6 Sol46.0 coding index
Best broader implementation signal
Lowest listed API cost
MiMo-V2.5-Pro$0.43 / $0.87
Input / output per 1M tokens; quality still matters
The best AI models for UI design
Website Arena score determines the order. The coding index is shown separately as a broader implementation-quality cross-check.
| Rank | Model | UI score | Blind comparisons | Coding index | API $ in / out |
|---|---|---|---|---|---|
| 01 |  GPT-5.6 Solopenai | 1,415 | 4163.4% wins | 46.0 | $5.00 / $30.00 |
| 02 |  Bobastealth | 1,238 | 59835.8% wins | — | — |
| 03 | Cookiestealth | 1,177 | 5651.8% wins | — | — |
| 04 |  Claude Fable 5anthropic | 1,175 | 4528.9% wins | 45.9 | $10.00 / $50.00 |
| 05 |  MiMo-V2.5-Proxiaomi | 1,138 | 2352.2% wins | 31.0 | $0.43 / $0.87 |
| 06 | Claude Opus 4.6anthropic | 1,123 | 65445.1% wins | 33.0 | $5.00 / $25.00 |
| 07 |  Gemini 3.6 Flashgoogle | 1,122 | 1100.0% wins | 28.9 | $1.50 / $7.50 |
| 08 |  Muse Spark 1.1meta | 1,082 | 1020.0% wins | 34.7 | $1.25 / $4.25 |
| 09 | Claude Sonnet 4.6anthropic | 1,070 | 29745.1% wins | 26.3 | $3.00 / $15.00 |
| 10 |  Qwen3.7 Maxqwen | 1,063 | 5742.1% wins | 36.2 | $1.25 / $3.75 |
UI score is conservative TrueSkill from anonymous Website Arena preference votes. Prices are USD per 1M input/output tokens where available.
AI-generated UI examples
Working outputs are compared blind. When live winning examples are available, the model, prompt and match remain attached.
Arena outputArena outputArena output
Arena output
Arena output
Arena outputAnonymous React website comparisonsRun the same test
Check layout, mobile behavior, and accessibility
Visual appeal earns attention. A usable interface also needs a system, complete states and accessible behavior.
01Scan order, emphasis, density
Hierarchy
The page makes importance visible before the copy is read.
02Consistency, reuse, tokens
System
Components, spacing and type behave like one intentional language.
03Responsive, empty, error, loading
States
The design survives interaction—not just a polished default screen.
04Keyboard, labels, WCAG checks
Access
Contrast, semantics, focus and motion choices work for more people.
AI for dashboards, landing pages, and prototypes
A leaderboard narrows the field. These checks decide whether a result can move beyond a demo.
| UI job | Use the ranking for | Verify separately |
|---|---|---|
| Landing page | Visual hierarchy and responsive finish | Copy accuracy, conversion path, performance |
| Dashboard | Information density and component structure | Real data, permissions, empty and error states |
| Design system | Reusable patterns and visual consistency | Token coverage, variants, documentation |
| Coded prototype | Speed from brief to working interaction | Maintainability, dependencies, accessibility |
| Production UI | Repository-aware implementation quality | Security, tests, review and design QA |
How we rank AI for UI design
01Blind UI vote
02Uncertainty
03Code check
Primary signal. Models receive the same interface prompt and produce working React websites. People compare results without seeing model names. We order models by conservative TrueSkill (μ − 3σ), which penalizes uncertain results with limited evidence.
Cross-check. The broader coding index adds evidence from software-engineering and code-generation evaluations. It can reveal models that make attractive demos but are less consistent across implementation tasks.
Repeatable field test. Give each finalist the same five briefs: marketing page, dashboard, mobile flow, design-system extension and accessibility repair. Hold model version, tools, system prompt and token limit constant. Score requirements, hierarchy, responsiveness, interaction states, accessibility, code quality, latency and total cost. Preserve failures.
Limit. Human preference captures perceived quality, not every accessibility defect, browser bug, security flaw or maintainability problem. The Website Arena ranks models, not tools such as design editors, IDE assistants or full product-building agents.
Sources and refresh policy
Results.Website Arena scores, match counts, prompts and rendered outputs come from LLM Stats' anonymous text-to-website comparisons. The coding index is an independent secondary signal.
Prices. Listed provider API prices are snapshots per million tokens and exclude subscriptions, caching, tool calls, taxes and human review.
Academic basis. The uncertainty-aware ordering follows the ideas in Herbrich, Minka and Graepel's TrueSkill research.
Updates. Ranking data refreshes hourly. Editorial conclusions change only when the evidence materially changes; the visible review date records the latest checked edition.
Best AI for UI design: questions answered
What is the best AI for UI design?
GPT-5.6 Sol currently ranks first in the live LLM Stats Website Arena. It is the strongest evidence-based default for generating coded interfaces, but the best complete design tool depends on your editing, collaboration and production workflow.
Is this a ranking of UI design tools?
No. It ranks underlying AI models on working website outputs and coding evidence. Design canvases, plugins, IDE integrations and autonomous app builders add capabilities the model score does not measure.
How is UI design different from web development here?
This page makes blind preference on rendered interface quality the primary signal. The web-development page starts from the broader coding index and covers front-end, backend and repository work.
Can the models produce accessible production UI?
They can help, but a favorable arena result is not an accessibility certification. Test semantics, keyboard flow, focus, contrast, zoom, reduced motion and screen-reader output, then review the generated code.
Are the examples linked to real arena results?
The current gallery uses anonymized archived Website Arena outputs because model-linked live examples were unavailable at refresh time. It does not attribute those images to named models.