Meta's Muse Ember has pushed the frontier of the preference-versus-speed trade-off on the Overall HTML leaderboard, displacing 10 leading models from Google DeepMind, OpenAI and DeepSeek.
Meta · HTML Leaderboard
Meta's Muse Ember takes the top of the HTML speed-preference frontier
Muse Ember now leads the Pareto frontier balancing human preference against generation speed on HTML tasks, displacing 10 leading models from Google DeepMind, OpenAI and DeepSeek. Its main edge is speed.
Key numbers
Headline figures for the HTML generation ranking
33 s
Average time per generation for Muse Ember
9.5×
Faster on average than the previous Pareto frontier model
10
Top-ranked models from Google DeepMind, OpenAI and DeepSeek displaced
Relative speed on HTML generation
Previous frontier model = 1 block, Muse Ember = 9.5 blocks, drawn to the stated 9.5× speed ratio
1×
Previous Pareto frontier model
Takeaway: at a comparable preference score, a 33-second generation time would be a practical advantage for repeated web interface generation.
Why it matters
Speed decides whether a web-building tool feels interactive or cumbersome.
If the ranking holds, Meta strengthens its position in fast, high-quality front-end development.
Google, OpenAI and DeepSeek are competing in the same area.
What is not yet known
The exact models included in the speed comparison.
The number of prompts evaluated.
The margin of Muse Ember's preference-score lead.
Limits of the result
One snapshot on one task type is not a verdict on overall model quality.
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