# Muse Ember

Muse Ember is an AI model released by Meta on Nov 9 2026. It has a 1M context window. Tracked results include 37.8% on AutomationBench (Artificial Analysis), 22.8% on GDP.PDF (Artificial Analysis) and 46 on AA Coding Agent Index.

## Facts

| Field | Value |
| --- | --- |
| Model | Muse Ember |
| Developer | Meta |
| Release date | Monday, Nov 9 2026 |
| Licensing | Closed |
| Context window | 1M |

## API pricing

All rates in USD per 1,000,000 tokens, pay-as-you-go.

| Tier | Input | Cached input | Output |
| --- | --- | --- | --- |
| Up to 200K input tokens | $0.10 | $0.004 | $0.50 |
| Over 200K input tokens | $0.30 | $0.012 | $1.50 |

A request with more than 200K input tokens, cached tokens included, is billed entirely at the long-context rates.
Standard mode only on the Model API. Contributor mode is not available for Muse Ember.
Verified November 9, 2026 against the first-party source: https://dev.meta.ai/docs/pricing-rate-limits

## Tracked benchmark scores

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| AA Coding Agent Index | 46 | Lab | Artificial Analysis' overall score for coding agents, combining three coding benchmarks with what each run costs and how many tokens it burns. It rates a model paired with a particular agent harness rather than the model alone, so the same model scores differently in different tools. Higher is better. |
| Terminal-Bench 4.0 | 40.9% | Lab | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Version 4.0 recalibrated how much time, CPU and memory each task gets, removed eight tasks and fixed nineteen, so fewer runs fail for reasons that have nothing to do with the model. Scores are not comparable with earlier versions. Higher is better. |
| AutomationBench (Artificial Analysis) | 37.8% | Lab | The same business-workflow test, run by Artificial Analysis rather than by the lab, and graded strict pass@1: a workflow counts only if the whole of it is right on the first attempt. Read it as a separate board from the lab-run AutomationBench scores. Higher is better. |
| AA Intelligence Index v5.0 | 36 | Lab | Artificial Analysis composite intelligence index, version 5.0 with tools; separate from earlier index editions |
| GDP.PDF (Artificial Analysis) | 22.8% | Lab | The same professional-PDF test, run by Artificial Analysis rather than by the lab. Read it as a separate board from the lab-run GDP.PDF scores. Higher is better. |

## About Muse Ember

Muse Ember was introduced on November 9, 2026 as Meta's smallest Muse model, built for the work agents repeat: tool calls, coding subtasks, routing, extraction and long-document parsing. It was available the same day on the Meta Model API, under the id muse-ember-1.0, and in Muse Code on pay-as-you-go and every subscription plan. Meta called it the first model trained using Muse Wonder Full. The docs give it a 1,048,576-token context window, up to 524,288 output tokens, and text, image, video, audio and PDF inputs, and they pair it with Wonder or Spark when a workflow needs a larger model to plan.

Launch numbers are for max reasoning, which is the default effort when a request sets none. Meta reported 40.9% on Terminal-Bench 4.0 using mini-swe-agent, the harness it called Ember's best published one, 46 on the Artificial Analysis Coding Agent Index and 36 on Intelligence Index v5. Artificial Analysis runs also gave it 37.8% on AutomationBench and 22.8% on GDP.pdf. Standard token rates are $0.10 input and $0.50 output per million, with cached input at $0.004, for requests of up to 200,000 input tokens; above that, the whole request is billed at $0.30 input, $0.012 cached and $1.50 output. No parameter count or weight download was published, and the Model API offers Ember in Standard mode only.

## Questions and answers

### When was Muse Ember released?

Muse Ember was released by Meta on Monday, Nov 9 2026.

### Who made Muse Ember?

Muse Ember was built by Meta. Develops the open-weight Llama series of models. Committed to open-source AI research.

### How much does Muse Ember cost?

Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens through the Meta API. Cached input is $0.004 per million tokens. Those are the rates for the “Up to 200K input tokens” tier; 1 other pricing tier is published for this model. Rates are pay-as-you-go API prices verified against Meta's published pricing on November 9, 2026.

### What benchmark scores did Muse Ember get?

Muse Ember reports 5 tracked benchmark scores — AA Coding Agent Index: 46; Terminal-Bench 4.0: 40.9%; AutomationBench (Artificial Analysis): 37.8%; AA Intelligence Index v5.0: 36; GDP.PDF (Artificial Analysis): 22.8%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. It holds the best score among all models tracked here on AutomationBench (Artificial Analysis) and GDP.PDF (Artificial Analysis).

### What is the context window of Muse Ember?

Muse Ember has a context window of 1M. Providers may specify separate input and output token limits.

### Is Muse Ember open source?

No. Muse Ember is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

### What came before and after Muse Ember?

Meta's previous tracked release was Muse Spark Open on Oct 15 2026, 25 days earlier. It is the most recent Meta model tracked on AI Release Tracker.


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Canonical page: https://aireleasetracker.com/model/meta/muse-ember
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.