MODEL APIS

Meta launches Muse Ember for high-volume agent subtasks

By IDAKIM Digital · Published November 10, 2026

The smaller Muse model targets tool calls, extraction, routing and coding steps, with a million-token context and tiered long-prompt pricing.

Meta announced Muse Ember as its smallest and most efficient Muse model on November 9. Available as muse-ember-1.0 through the Meta Model API and Muse Code, it supports the Responses API and native text, image, audio and video understanding. The published context window is one million tokens, with up to 512,000 output tokens. For prompts up to 200,000 tokens, listed prices are $0.10 per million input tokens, $0.004 for cached input and $0.50 for output. Longer prompts cost $0.30, $0.012 and $1.50 respectively. Meta positions Ember as the execution partner to larger planning models: a larger model handles difficult decisions while Ember performs repeated subtasks. Its efficiency and benchmark comparisons are reported by Meta and use differing harnesses for some coding evaluations. The announcement also lists availability on Google Cloud and Oracle Cloud; actual account access and deployment terms should be checked with the selected provider.

Why it matters

Benchmark a bounded extraction or tool-routing workload before changing an agent pipeline. Measure malformed tool calls, retries and escalation rate alongside token cost. Keep higher-stakes decisions and permissions under explicit review.

Source: Meta · November 9, 2026

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