Meta: Muse Spark 1.2
Analysis Summary
Meta Muse Spark 1.2 is a high-end multimodal model with an intelligence index of 56.8 and coding index of 72.2. It supports text, images, files, audio, and video, alongside tool use and function calling, while its 1M token context window supports substantial documents, media-rich briefs, and large codebases.
For Design for Online, the model fits complex software engineering, agentic workflows, strategic content development, and client work requiring analysis across multiple input formats. Its agentic index of 49.3 is strong enough for tool-driven production workflows, although it trails the very strongest agent models. Input and output pricing are materially higher than value-tier alternatives, so it should be reserved for high-stakes tasks where reasoning quality and multimodality matter.
Assessed August 9, 2026
Editorial notes
Meta Muse Spark 1.2 combines frontier reasoning, strong coding, multimodal input, reliable tool use, and a 1M token context window. Its premium pricing suits high-value workflows rather than routine volume traffic.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Meta Muse Spark 1.2 combines frontier reasoning, strong coding, multimodal input, reliable tool use, and a 1M token context window. Its premium pricing suits high-value workflows rather than routine volume traffic.
How Meta: Muse Spark 1.2 compares
Meta: Muse Spark 1.2 ranks #9 of 420 AI models we track for overall intelligence, #14 of 193 for coding, #19 of 175 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 23% 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.
Strongest on business fit. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Spark 1.2 for the hard ones. Most clients cut their estimate by 60-80%.
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, audio, and PDF documents, returns text, and offers a 1M-token context..
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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 #14 of 193 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.
