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Compare quality, speed, and cost with real evaluations.

Works with 21 agents and includes every ranked model Download and start designing with Claude Haiku 5.5

Best value

Claude Haiku 5.5

The best balance of quality, cost and speed.

In this evaluation, Claude Haiku 5.5 achieved 91% of top-ranked GPT-6.1 Sol’s average score, at just 5% of its average cost.

Cost per artifact
$0.018vs $0.382
Evaluation average / 100
82.2vs 90.1

Highest score

Fastest delivery

Compare models

Pick two or three models and see all five dimensions on one chart. Different shapes mean different strengths.

Five-dimension profile

Farther out is better on all five axes: stronger results, faster completion, and lower cost.

RequirementDesign qualityDelivery rateDelivery speedCost efficiency

    Mean on each axis across all 20 models

    Choose by preference

    Balance evaluated quality, cost, and speed to find the model that suits your needs.

    What matters most to you?
    Quality
    50%
    Cost
    30%
    Speed
    20%
    1. 1 Claude Haiku 5.5 84.2 Average score: 82.2/100; Average cost: $0.018; Average time: 2.5 min
    2. 2 GPT-6 Luna 82.5 Average score: 83.1/100; Average cost: $0.016; Average time: 4.2 min
    3. 3 DeepSeek V4.1 Flash 78.8 Average score: 81.2/100; Average cost: $0.023; Average time: 5.3 min
    4. 4 MiMo 2.6 Flash 73.6 Average score: 83.5/100; Average cost: $0.029; Average time: 16.0 min
    5. 5 GPT-6 Sol 72.6 Average score: 89.9/100; Average cost: $0.297; Average time: 4.7 min
    6. 6 GPT-6.1 Sol 70.3 Average score: 90.1/100; Average cost: $0.382; Average time: 6.2 min
    7. 7 GLM-5.3 Flash-X 70.0 Average score: 80.1/100; Average cost: $0.098; Average time: 8.0 min
    8. 8 Claude Sonnet 5.5 68.9 Average score: 86.8/100; Average cost: $0.574; Average time: 4.1 min
    9. 9 GPT-5.6 Sol 65.7 Average score: 77.6/100; Average cost: $0.544; Average time: 3.2 min
    10. 10 Gemini 3.8 Flash 64.7 Average score: 68.9/100; Average cost: $0.210; Average time: 3.8 min
    11. 11 Gemini 4 Argon 63.3 Average score: 81.2/100; Average cost: $0.667; Average time: 6.4 min
    12. 12 Muse Spark 1.3 63.2 Average score: 66.6/100; Average cost: $0.267; Average time: 3.3 min
    13. 13 MiniMax M3.1 Flash 62.9 Average score: 81.7/100; Average cost: $0.247; Average time: 17.5 min
    14. 14 Muse Wonder 61.3 Average score: 76.2/100; Average cost: $1.25; Average time: 3.3 min
    15. 15 Grok 4.7 59.6 Average score: 82.9/100; Average cost: $0.662; Average time: 16.3 min
    16. 16 GPT-6 Astra 57.5 Average score: 82.7/100; Average cost: $1.61; Average time: 11.1 min
    17. 17 Hunyuan H4 Preview 54.6 Average score: 74.6/100; Average cost: $0.418; Average time: 29.2 min
    18. 18 Qwen 3.8-Max 52.3 Average score: 72.0/100; Average cost: $0.595; Average time: 26.4 min
    19. 19 Claude Fable 5.1 52.1 Average score: 80.3/100; Average cost: $3.66; Average time: 12.8 min
    20. 20 Kimi K3 52.1 Average score: 65.7/100; Average cost: $0.614; Average time: 14.0 min

    Choose by use case

    Pick a design scenario; each of the five dimensions below recommends one model.

    Overall performance

    GPT-6.1 Sol

    Requirement · 28.0/30Design quality · 62.2/70Delivery rate · 90.0%Completion time · 6.2 minCost per run · $0.382 Requirement 28.0/30 Design quality 62.2/70 Delivery rate 90.0% Completion time 6.2 min Cost per run $0.382
    Avg. score
    90.1/100
    Avg. requirement
    28.0/30
    Avg. design quality
    62.2/70
    Avg. delivery rate
    90.0%
    Mean time
    6.2 min
    Mean cost / artifact
    $0.382/run
    Design quality

    GPT-6.1 Sol

    Avg. design quality
    62.2/70
    Avg. score
    90.1/100
    Avg. delivery rate
    90.0%
    Avg. requirement
    28.0/30
    Mean time
    6.2 min
    Mean cost / artifact
    $0.382/run
    Requirement fulfillment

    DeepSeek V4.1 Flash

    Avg. requirement
    28.4/30
    Avg. score
    81.2/100
    Avg. delivery rate
    57.7%
    Avg. design quality
    52.8/70
    Mean time
    5.3 min
    Mean cost / artifact
    $0.023/run
    Completion speed

    Claude Haiku 5.5

    Mean time
    2.5 min
    Avg. score
    82.2/100
    Avg. delivery rate
    62.2%
    Avg. requirement
    26.5/30
    Avg. design quality
    55.7/70
    Mean cost / artifact
    $0.018/run
    Cost efficiency

    GPT-6 Luna

    Mean cost / artifact
    $0.016/run
    Avg. score
    83.1/100
    Avg. delivery rate
    70.5%
    Avg. requirement
    25.2/30
    Avg. design quality
    57.9/70
    Mean time
    4.2 min

    Quality and cost

    Compare model performance and the cost of achieving it.

    Quality ranking

    90.1/100 GPT-6.1 Sol
    89.9/100 GPT-6 Sol
    86.8/100 Claude Sonnet 5.5
    83.5/100 MiMo 2.6 Flash
    83.1/100 GPT-6 Luna
    82.9/100 Grok 4.7
    82.7/100 GPT-6 Astra
    82.2/100 Claude Haiku 5.5
    81.7/100 MiniMax M3.1 Flash
    81.2/100 DeepSeek V4.1 Flash
    81.2/100 Gemini 4 Argon
    80.3/100 Claude Fable 5.1
    80.1/100 GLM-5.3 Flash-X
    77.6/100 GPT-5.6 Sol
    76.2/100 Muse Wonder
    74.6/100 Hunyuan H4 Preview
    72.0/100 Qwen 3.8-Max
    68.9/100 Gemini 3.8 Flash
    66.6/100 Muse Spark 1.3
    65.7/100 Kimi K3

    Model quality vs cost

    Average score Cost per artifact (USD) GPT-6.1 Sol GPT-6.1 Sol Average score 90.1 · $0.382 GPT-6 Sol GPT-6 Sol Average score 89.9 · $0.297 Claude Sonnet 5.5 Claude Sonnet 5.5 Average score 86.8 · $0.574 MiMo 2.6 Flash MiMo 2.6 Flash Average score 83.5 · $0.029 GPT-6 Luna GPT-6 Luna Average score 83.1 · $0.016 Grok 4.7 Grok 4.7 Average score 82.9 · $0.662 GPT-6 Astra GPT-6 Astra Average score 82.7 · $1.61 Claude Haiku 5.5 Claude Haiku 5.5 Average score 82.2 · $0.018 MiniMax M3.1 Flash MiniMax M3.1 Flash Average score 81.7 · $0.247 DeepSeek V4.1 Flash DeepSeek V4.1 Flash Average score 81.2 · $0.023 Gemini 4 Argon Gemini 4 Argon Average score 81.2 · $0.667 Claude Fable 5.1 Claude Fable 5.1 Average score 80.3 · $3.66 GLM-5.3 Flash-X GLM-5.3 Flash-X Average score 80.1 · $0.098 GPT-5.6 Sol GPT-5.6 Sol Average score 77.6 · $0.544 Muse Wonder Muse Wonder Average score 76.2 · $1.25 Hunyuan H4 Preview Hunyuan H4 Preview Average score 74.6 · $0.418 Qwen 3.8-Max Qwen 3.8-Max Average score 72.0 · $0.595 Gemini 3.8 Flash Gemini 3.8 Flash Average score 68.9 · $0.210 Muse Spark 1.3 Muse Spark 1.3 Average score 66.6 · $0.267 Kimi K3 Kimi K3 Average score 65.7 · $0.614

    9 models in the pink area cost more and score lower than DeepSeek V4.1 Flash.

    Scenario performance

    Web app ranking

    93.9/100 MiMo 2.6 Flash
    93.8/100 GPT-6.1 Sol
    90.5/100 GPT-6 Sol
    88.1/100 Grok 4.7
    86.4/100 Claude Sonnet 5.5
    83.1/100 GPT-5.6 Sol
    82.6/100 Claude Fable 5.1
    82.4/100 DeepSeek V4.1 Flash
    80.6/100 MiniMax M3.1 Flash
    79.1/100 Gemini 4 Argon
    78.1/100 GPT-6 Luna
    78.0/100 GLM-5.3 Flash-X
    77.8/100 Claude Haiku 5.5
    77.1/100 GPT-6 Astra
    73.6/100 Muse Wonder
    68.4/100 Gemini 3.8 Flash
    62.0/100 Muse Spark 1.3
    60.5/100 Hunyuan H4 Preview
    57.0/100 Qwen 3.8-Max
    35.9/100 Kimi K3

    Web app · Model quality vs cost

    Average score Cost per artifact (USD) MiMo 2.6 Flash MiMo 2.6 Flash Average score 93.9 · $0.043 GPT-6.1 Sol GPT-6.1 Sol Average score 93.8 · $0.490 GPT-6 Sol GPT-6 Sol Average score 90.5 · $0.304 Grok 4.7 Grok 4.7 Average score 88.1 · $0.648 Claude Sonnet 5.5 Claude Sonnet 5.5 Average score 86.4 · $0.673 GPT-5.6 Sol GPT-5.6 Sol Average score 83.1 · $0.537 Claude Fable 5.1 Claude Fable 5.1 Average score 82.6 · $5.55 DeepSeek V4.1 Flash DeepSeek V4.1 Flash Average score 82.4 · $0.030 MiniMax M3.1 Flash MiniMax M3.1 Flash Average score 80.6 · $0.420 Gemini 4 Argon Gemini 4 Argon Average score 79.1 · $0.658 GPT-6 Luna GPT-6 Luna Average score 78.1 · $0.017 GLM-5.3 Flash-X GLM-5.3 Flash-X Average score 78.0 · $0.097 Claude Haiku 5.5 Claude Haiku 5.5 Average score 77.8 · $0.022 GPT-6 Astra GPT-6 Astra Average score 77.1 · $1.87 Muse Wonder Muse Wonder Average score 73.6 · $1.35 Gemini 3.8 Flash Gemini 3.8 Flash Average score 68.4 · $0.185 Muse Spark 1.3 Muse Spark 1.3 Average score 62.0 · $0.293 Hunyuan H4 Preview Hunyuan H4 Preview Average score 60.5 · $0.609 Qwen 3.8-Max Qwen 3.8-Max Average score 57.0 · $0.552 Kimi K3 Kimi K3 Average score 35.9 · $0.486

    10 models in the pink area cost more and score lower than DeepSeek V4.1 Flash.

    Model efficiency

    Compare completion time, cache hit rate, and token consumption. All figures are measured means.

    Scenario
    Average scoreCompletion time
    High score · High efficiency

    Evaluation method

    Score requirement fulfillment and design quality, with efficiency and cost reported separately.

    Tasks and samples

    Models are evaluated on shared design tasks across five scenarios: web apps, mobile apps, desktop clients, dashboards and admin panels, and websites and landing pages. These results describe performance on practical prototype-generation tasks, not general model capability.

    Page rendering checks

    Before scoring, we check whether each artifact opens as a webpage, including blank pages, truncated content, and fatal runtime errors. Artifacts that cannot render receive zero; their results are not replaced through retesting. Opening successfully is only a prerequisite for further evaluation, not proof that the requirements are met or that the artifact is deliverable.

    Requirement fulfillment and design quality

    Each artifact is scored out of 100. Requirement fulfillment accounts for 30 points: pages and modules, required content, interface states, and interactions are checked against the task brief and rated complete, partially complete, or incomplete. Design quality accounts for 70 points across five equally weighted dimensions: layout and readability, information hierarchy, fit between style and task, color and contrast, and image fit and content relevance. Each dimension is rated met, partially met, or unmet.

    Average score and delivery rate

    The average score is the arithmetic mean of all scored artifacts for a model. An artifact scoring 80 or above counts as deliverable in this evaluation. Delivery rate is the proportion of scored artifacts that meet this threshold, indicating how consistently a model produces qualifying results. Deliverable refers to this evaluation’s prototype-quality standard, not readiness for production use.

    Efficiency and cost

    We report measured means for completion time, cache hit rate, input and output token usage, and tool calls separately from quality scores. Each artifact’s cost is estimated from recorded token usage at standard input, output, and cache-read prices, then averaged. These estimates compare resource consumption; they are not invoices and exclude unrecorded charges. Efficiency and cost do not contribute to the evaluation score. Changing selection preferences affects recommendation rankings, not the original evaluation results.