Meta: Muse Spark 1.1
Analysis Summary
Meta's Muse Spark 1.1 is a frontier general-purpose model with strong reasoning and coding capability. It supports a one-million-token context, vision, full multimodal input across files, audio, and video, plus tool use and function calling. That combination supports complex analysis, software engineering, and content production from a single model.
It fits autonomous coding assistants, long-document review, multimodal campaign work, structured SEO operations, and client-facing writing where precision matters. The model's agentic capability is strong, though the newer Muse Spark 1.2 has benchmarked higher and should be preferred when the workflow can use the latest family version.
Pricing is premium but not prohibitive for high-value calls. Use Muse Spark 1.1 for demanding production work when version availability requires it, while routing routine volume to a cheaper model.
Assessed August 9, 2026
Editorial notes
Muse Spark 1.1 offers frontier reasoning and coding, a one-million-token context, full multimodal input, vision, and tool calling. It is a premium all-rounder for complex client work, although the newer benchmarked Muse Spark 1.2 is the preferred family choice.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Muse Spark 1.1 offers frontier reasoning and coding, a one-million-token context, full multimodal input, vision, and tool calling. It is a premium all-rounder for complex client work, although the newer benchmarked Muse Spark 1.2 is the preferred family choice.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
53.2 Intelligence Index·71.3 Coding Index·39.7 Agentic Index
How Meta: Muse Spark 1.1 compares
Meta: Muse Spark 1.1 ranks #21 of 424 AI models we track for overall intelligence, #23 of 197 for coding, #40 of 179 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 content. The pulled-in technical 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 1.1 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 701 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, audio, and PDF documents and returns text, with a 1M-token context..
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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 197 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.
