Meta's Muse Ember matches Claude Haiku 5.5's score at about a third of the cost per task: $0.10 per million input tokens
Meta released Muse Ember, its smallest and cheapest Muse model, built for the repetitive work agents do all day: tool calls, coding subtasks, routing, extraction and parsing long documents. It reads text, images, audio, video and PDFs, has a 1M-token context window and can write up to 512K tokens. On the Artificial Analysis Intelligence Index it scores 36, tying Claude Haiku 5.5 at max effort, at about $0.14 per task versus roughly $0.41, Meta says. Meta suggests pairing it with a bigger model: Muse Wonder or Spark plans, Ember handles the volume.
Why it matters
Subagent calls are where agent bills pile up. A model this cheap that holds its own on agent and coding benchmarks can cut the cost of high-volume workflows a lot.
Who it's for
Developers running coding agents, document pipelines or customer workflows who want a cheap, fast subagent model.
How to try it
- Create a Meta Model API key, then call the Responses API with model muse-ember-1.0 (Chat Completions and Messages endpoints also work).
- Start with a high-volume task, for example classifying support tickets or extracting fields from PDFs, and compare its output and cost with your current small model.
- In a multi-agent setup, keep a bigger model as planner and send bounded subtasks to Ember.
- Keep requests under 200K input tokens where you can; longer ones are billed at the higher rate in full.
Plan & availability: Available November 9, 2026 on the Meta Model API (muse-ember-1.0, Standard mode only) and in Muse Code on pay-as-you-go and every plan; also on Google Cloud and Oracle Cloud, and in OpenRouter and OpenCode per their announcements. Price: $0.10 input, $0.004 cached input and $0.50 output per million tokens for requests up to 200K input tokens; $0.30/$0.012/$1.50 above that. Benchmark claims are Meta's and Artificial Analysis's; Meta's own chart shows it trailing Haiku 5.5 on FrontierCode 2.0. Checked on research.meta.ai and dev.meta.ai on November 10, 2026.
Source: Meta AI on research.meta.ai ↗
Written by AgentStackList from the original post. Checked Nov 10, 2026. Features, plans and availability can change, so confirm on the source before you rely on it.
muse-embermetaapisubagentscheap-models
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