Meta: Muse Spark 1.3
Analysis Summary
Meta's Muse Spark 1.3 has a 48.1 intelligence index, a 75.8 coding index, and a 55.5 agentic index. It supports text, image, file, audio, and video input, along with tool use and function calling. Its 1.05M-token context gives it room for large documents and extended workflows, while the broad input support suits tasks that combine different media.
For client work, Muse Spark is a capable candidate for coding support, tool-using agents, and multimodal analysis. Its agentic and coding measures support more than routine text generation, though teams should still test task-specific reliability before allowing autonomous actions. Listed rates of $1.25 per million input tokens and $4.25 per million output tokens make it better suited to selective, higher-value work than indiscriminate bulk traffic. Pair it with a cheaper model for routine calls.
Assessed September 23, 2026
Editorial notes
Muse Spark 1.3 combines strong reasoning and coding with agentic capability, multimodal input, tool use, and a 1M-token context; its rates suit selective rather than bulk use.
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
Muse Spark 1.3 combines strong reasoning and coding with agentic capability, multimodal input, tool use, and a 1M-token context; its rates suit selective rather than bulk use.
Benchmarks
Artificial Analysis data refreshed Oct 5, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Meta: Muse Spark 1.3 compares
Meta: Muse Spark 1.3 ranks #8 of 433 AI models we track for overall intelligence, #7 of 198 for coding, #5 of 181 for agentic tasks. 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 1.3 cost your business?
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Talk to our teamAbout Meta: Muse Spark 1.3
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through..
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Frequently asked questions about Meta: Muse Spark 1.3
How much does Meta: Muse Spark 1.3 cost?
Meta: Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens.
What is the context window of Meta: Muse Spark 1.3?
Meta: Muse Spark 1.3 has a context window of 1,048,576 tokens (1M).
Is Meta: Muse Spark 1.3 good for coding?
On our coding benchmark index, Meta: Muse Spark 1.3 ranks #7 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can Meta: Muse Spark 1.3 do?
Meta: Muse Spark 1.3 supports image/vision input, tool use, and function calling.
Who created Meta: Muse Spark 1.3?
Meta: Muse Spark 1.3 is developed by Meta and was released on September 2, 2026.