Meta: Muse Ember
Analysis Summary
Meta: Muse Ember comes from Meta. It launched in November 2026, making it a current-generation release. We place it in the Specialist tier, where it sits at #15 of 735 models overall. For raw reasoning ability it ranks #15 of 449, putting it in among the very best models we track for overall intelligence.
Its 1M-token context window is larger than 95% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Meta: Muse Ember combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.100 input and $0.500 output per 1M tokens, Meta: Muse Ember is aggressively priced for high-volume use which makes it easy to justify for cost-sensitive, high-throughput deployments. Meta: Muse Ember is best deployed where its particular strengths line up with the task, rather than as a general-purpose frontier model.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Meta: Muse Ember currently sits at #15 of 735 models on our board. We class it as a specialist-tier model.
Benchmarks
Artificial Analysis data refreshed Nov 9, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Meta: Muse Ember yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
This model was released recently. Benchmark figures are preliminary and are likely to be updated as independent testing is finalised.
How Meta: Muse Ember compares
Meta: Muse Ember ranks #15 of 449 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $0.10 per million input tokens it is cheaper than 65% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.50 | $0.000500 |
What would Meta: Muse Ember cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 735 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Ember for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Muse Ember
Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,..
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Frequently asked questions about Meta: Muse Ember
How much does Meta: Muse Ember cost?
Meta: Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens.
What is the context window of Meta: Muse Ember?
Meta: Muse Ember has a context window of 1,048,576 tokens (1M).
What can Meta: Muse Ember do?
Meta: Muse Ember supports image/vision input, tool use, and function calling.
Who created Meta: Muse Ember?
Meta: Muse Ember is developed by Meta and was released on November 9, 2026.