Meta: Muse Spark 1.1
Analysis Summary
Meta's Muse Spark 1.1 combines a 1M-token context with text, image, file, audio, and video input, plus vision, tool use, and function calling. Its intelligence result is in the good range, while its coding result is a clear strength. The supplied agentic result is lower than its coding performance, so strong programming ability should not be mistaken for proven autonomous execution.
For businesses, it is a plausible choice for code assistance, multimodal document review, and content workflows that need large-context analysis. The broad input support can simplify work involving mixed media, though its listed price of $1.25 per million input tokens and $4.25 per million output tokens is not suited to indiscriminate bulk use. Pilot it for higher-value tasks, and compare tool-driven reliability with alternatives before deploying autonomous agents.
Assessed September 23, 2026
Editorial notes
Muse Spark 1.1 combines strong coding results with a 1M-token context, vision, and broad multimodal input; its agentic results are more modest and pricing is premium.
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 1.1 combines strong coding results with a 1M-token context, vision, and broad multimodal input; its agentic results are more modest and pricing is premium.
Benchmarks
Artificial Analysis data refreshed Oct 5, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How Meta: Muse Spark 1.1 compares
Meta: Muse Spark 1.1 ranks #37 of 433 AI models we track for overall intelligence, #23 of 198 for coding, #54 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 1.1 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 692 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Spark 1.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window..
Frequently asked questions about Meta: Muse Spark 1.1
How much does Meta: Muse Spark 1.1 cost?
Meta: Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens.
What is the context window of Meta: Muse Spark 1.1?
Meta: Muse Spark 1.1 has a context window of 1,048,576 tokens (1M).
Is Meta: Muse Spark 1.1 good for coding?
On our coding benchmark index, Meta: Muse Spark 1.1 ranks #23 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can Meta: Muse Spark 1.1 do?
Meta: Muse Spark 1.1 supports image/vision input, tool use, and function calling.
Who created Meta: Muse Spark 1.1?
Meta: Muse Spark 1.1 is developed by Meta and was released on July 16, 2026.