Reported News
Muse Ember: Meta's smallest model for agent work, at $0.10 per million input tokens
Muse Ember is Meta's smallest and cheapest Muse model, released Nov 9, 2026 as muse-ember-1.0 on the Meta Model API and in Muse Code. It costs $0.10 per million input tokens and $0.50 per million output tokens, has a 1M-token context window, and Meta pitches it as the high-volume executor paired with Muse Wonder or Muse Spark.
- Changes reported
- 6
- listed below, each from a source we read
- We tested
- Not tested yet
- reported from sources; we did not run it ourselves
- Gaps we flag
- 4
- things we could not verify
- Sources
- 3
- 2 primary, linked below
What changed
| # | What the source says | Status |
|---|---|---|
| 01 | Meta released Muse Ember as muse-ember-1.0 on the Meta Model API and in Muse Code, priced at $0.10 per million input tokens, $0.004 per million cached input tokens and $0.50 per million output tokens. | Reported |
| 02 | It has a 1,048,576-token context window and up to 524,288 output tokens, takes text, image, video, audio and PDF input, and supports the Responses, Chat Completions and Messages endpoints. | Reported |
| 03 | Meta says Ember matches Claude Haiku 5.5's best Artificial Analysis score at about a third of the cost; its own chart puts Ember at 35.8 for $0.136 per task against Haiku 5.5 at 36.2 for $0.411, with Ember costs marked as estimates. | Reported |
| 04 | In Meta's table at max reasoning, Ember scores 37.8 on AutomationBench-AA versus 13.9 for Haiku 5.5 and 20.2 for GPT-6 Luna, but trails Haiku on FrontierCode 2.0-AA (27.2 versus 34.9). | Reported |
| 05 | The docs say Ember accepts the same request body as Muse Spark, so switching is mostly a model ID change; it runs in Standard mode only, and requests over 200K input tokens are billed at higher long-context rates. | Reported |
| 06 | Meta says Ember is the first model trained using Muse Wonder Full and that its safety evaluations found it below the high-risk thresholds of its scaling framework. | Reported |
reported by the sourcemeasured or run by usnot verified
Primary source: Meta: Introducing Muse Ember. We are the fast, independent index; the vendor’s own page is the source of record for this release.
Who it matters for
Teams running agent harnesses with many small steps: sub-agent coding tasks, tool calls, request routing, and extraction over large batches of documents or images. Meta positions it as the cheap executor under a planner such as Muse Wonder or Muse Spark, so existing Muse Spark users can try it by changing the model ID.
If you mainly need hard single-shot coding, Meta's own table shows Claude Haiku 5.5 ahead on FrontierCode 2.0-AA, and every benchmark here is reported by Meta, not independently run.
In the source’s words
“it matches Haiku's best score at about a third of the cost and beats every Luna setting.”
“Muse Ember accepts the same request body as Muse Spark, so switching most examples is a model ID change.”
What we have not verified
- We did not run this release ourselves.
- All benchmark scores and cost-per-task figures are Meta's own reporting of Artificial Analysis and internal evaluations; the blog notes Ember costs in its chart are estimates at proposed pricing.
- We did not check the long-context price tier for requests over 200K input tokens or the rate limits.
- Partner quotes in the announcement (Box, Cline, Oracle, Cloudflare, You.com) were not checked with those companies.
This brief is Reported: written from the sources below, not from running the release ourselves.
Sources
- Meta: Introducing Muse Emberprimary source · fetched 2026-11-09
- Meta Model API docs: Muse Emberprimary source · fetched 2026-11-09
- TechCrunch: Meta releases Muse Embersource · fetched 2026-11-09
Related
- Muse Ember: specs, price and alternatives
- Muse Wonder: specs, price and alternatives
- Muse Wonder Full: specs, price and alternatives
- Claude Haiku 5.5: specs, price and alternatives
- GPT-6 Luna: specs, price and alternatives
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