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Meta's Muse Ember ranks 10th on Design Arena HTML leaderboard

AIDesign Arena ranks Meta's Muse Ember 10th overall on its Overall HTML leaderboard with an Elo of 1345. The post says Muse Ember averages 33 seconds per generation, 9.5 times faster than the prior Pareto frontier models it displaced, and costs $0.10 per 1M input tokens and $0.50 per 1M output tokens.
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BREAKING: Muse Ember by @AIatMeta has redefined the Preference vs Speed Pareto frontier on Overall HTML, knocking out 10 top models from @GoogleDeepMind, @OpenAI, and @DeepSeek_ai.

At 33s per generation, Muse Ember is 9.5× faster on average than the previous Pareto frontier models. It is also at least 34× cheaper on average than all the previous Pareto frontier models it replaced at $0.10/$0.50 per 1M input/output tokens ($0.004 cache). It is also ranked 10th overall with an Elo of 1345!

A huge congrats to the @AIatMeta team on a top-10 placement on the leaderboard!

AI at Meta@AIatMeta
Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work. Muse Ember can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes. With a 1M-token context window and native understanding of text, images, audio and video, it can also work across large document sets and varied inputs.
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Original title: BREAKING: Muse Ember by @AIatMeta has redefined the Preference vs Speed Pareto frontier on Overall HTML, knocking out 10 top models from ...

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Evals & benchmarks