Meta: Muse Spark 1.2
Analysis Summary
Muse Spark 1.2 is Meta's multimodal model, with a 1M-token context and text, image, file, audio, and video input. Its measured coding capability is strong, while its agentic result is more moderate by comparison. Tool use and function calling are supported, giving it practical interfaces for applications that need to connect model responses to actions.
For agency work, it is a useful candidate for coding assistance, long-context analysis, and content workflows that incorporate visual or audio material. Multimodal support can reduce the need to split inputs across separate systems, though teams should still validate outputs for each format and task. The listed prices are $1.25 per million input tokens and $4.25 per million output tokens.
It fits as a capable secondary or specialist model for teams seeking broad modality support and strong coding performance. The newer Muse Spark 1.3 is benchmarked, so reserve family-leading selection for that version.
Assessed September 23, 2026
Editorial notes
Muse Spark 1.2 combines strong coding results with vision, audio, video, and file input, a 1M-token context, and tool calling. Its agentic results are less pronounced than its coding performance.
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 1.2 combines strong coding results with vision, audio, video, and file input, a 1M-token context, and tool calling. Its agentic results are less pronounced than its coding performance.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Meta: Muse Spark 1.2 compares
Meta: Muse Spark 1.2 ranks #39 of 447 AI models we track for overall intelligence, #27 of 199 for coding, #30 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 1.2 cost your business?
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Talk to our teamAbout Meta: Muse Spark 1.2
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window..
Frequently asked questions about Meta: Muse Spark 1.2
How much does Meta: Muse Spark 1.2 cost?
Meta: Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens.
What is the context window of Meta: Muse Spark 1.2?
Meta: Muse Spark 1.2 has a context window of 1,048,576 tokens (1M).
Is Meta: Muse Spark 1.2 good for coding?
On our coding benchmark index, Meta: Muse Spark 1.2 ranks #27 of 199 models, placing it in the top quartile of the field for code generation and debugging.
What can Meta: Muse Spark 1.2 do?
Meta: Muse Spark 1.2 supports image/vision input, tool use, and function calling.
Who created Meta: Muse Spark 1.2?
Meta: Muse Spark 1.2 is developed by Meta and was released on August 5, 2026.