Meta: Muse Spark Open
Analysis Summary
Meta: Muse Spark Open is developed by Meta. It launched in October 2026, making it a current-generation release. On our leaderboard it earns Specialist-tier status, ranking #33 of 713 models in our overall business-suitability ranking. For raw reasoning ability it ranks #33 of 439, putting it in the top quartile 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 Spark Open 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 $1.25 input and $4.25 output per 1M tokens, Meta: Muse Spark Open is mid-market priced. Meta: Muse Spark Open 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 Spark Open currently sits at #33 of 713 models on our board. We class it as a specialist-tier model.
Benchmarks
Artificial Analysis data refreshed Oct 18, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Meta: Muse Spark Open 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 Spark Open compares
Meta: Muse Spark Open ranks #33 of 439 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $1.25 per million input tokens it is cheaper than 21% 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 | $1.25 | $0.001250 |
| Output | $4.25 | $0.004250 |
What would Meta: Muse Spark Open cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Spark Open for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Muse Spark Open
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers..
Frequently asked questions about Meta: Muse Spark Open
How much does Meta: Muse Spark Open cost?
Meta: Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens.
What is the context window of Meta: Muse Spark Open?
Meta: Muse Spark Open has a context window of 1,048,576 tokens (1M).
What can Meta: Muse Spark Open do?
Meta: Muse Spark Open supports image/vision input, tool use, and function calling.
Who created Meta: Muse Spark Open?
Meta: Muse Spark Open is developed by Meta and was released on October 15, 2026.