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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score54

Meta releases small Muse Ember model on its API and Muse CodeMachine translation

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Muse Ember targets repeated agent tasks such as tool calls, coding subtasks, routing and extraction. Meta says it matches Claude Haiku 5.5’s intelligence at about a third of the cost, although the material says their rates are identical for prompts under 100K tokens and attributes Ember’s cost advantage mainly to using fewer tokens per task.

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Rohan Paul@rohanpaul_ai

Meta released Muse Ember, its smallest model, which it says matches Claude Haiku 5.5’s intelligence for about a third of the cost.

aimed at the tool calls, coding subtasks, routing and extraction agents repeat all day.

> up to 200K tokens: $0.10 input, $0.50 output per 1M tokens > over 200K tokens: $0.30 input, $1.50 output per 1M tokens

Haiku charges identical rates for prompts under 100K tokens, so Ember’s cost edge comes mainly from spending fewer tokens per task.

QuoteMark Zuckerberg@finkd
Releasing Muse Ember today -- our smallest model that delivers higher intelligence per dollar than others in its class. Built for token-heavy work that agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. Available today on the Meta Model API and in Muse Code.
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Source: Rohan Paul · x.com

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