Meta Releases Its Smallest Model Muse Ember, Claims It Matches Claude Haiku 5.5 Intelligence at About One-Third the Cost
Meta released its smallest model, Muse Ember, claiming it reaches Claude Haiku 5.5's intelligence level at about one-third the cost, targeting scenarios such as tool calls, coding subtasks, routing, and extraction that agents repeatedly execute. Pricing is $0.10 per million input tokens and $0.50 per million output tokens for up to 200K tokens, and $0.30 input and $1.50 output beyond 200K tokens. Since Haiku charges the same rate for up to 100K tokens, Ember's cost advantage mainly comes from consuming fewer tokens per task. The model is already available in the Meta Model API and Muse Code.
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The original text provides the pricing tiers and a cost comparison with Claude Haiku 5.5, so readers can judge the cost trade-offs of lightweight models on agentic tasks.
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View original postReleasing 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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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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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.