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Meta Muse Spark 1.1 IS UNDERRATED! Beats Opus 4.8 & Grok 4.5! (Fully Tested)
⏱ 17 min video · 3 min read14 Jul 2026
TL;DR
The creator tests Meta's Muse Spark 1.1, a multimodal reasoning model that launched quietly amid Grok 4.5 and GPT-5.5 hype, and finds it surprisingly competitive — outperforming Claude Opus 4.8 on certain agentic coding tasks at 20% of the cost. The video runs it through front-end coding, 3D scene generation, SVG animation, and multimodal image understanding benchmarks to assess real-world value.
Key points
1
Muse Spark 1.1 reportedly outperforms Claude Opus 4.8 on specific agentic coding tasks while costing only 20% as much, making it a strong cost-efficiency pick.
2
The model features a 1 million token context window, multimodal support (images, video, audio), and ranks highly on the OS World benchmark for computer use tasks.
3
In live tests it generated a functional macOS clone, a Minecraft clone with day/night cycle, an FPS shooter in Three.js, and SVG animations with notable quality.
4
Muse Spark 1.1 passed an image safety test (detecting ants on food) that Fable 5 failed, highlighting its strong multimodal reasoning capability.
5
The creator considers it neck-and-neck with Grok 4.5 for agentic workflows, but notes it falls short of Grok 4.5 in front-end design quality.
Actionable insights
→
Use Muse Spark 1.1 over Claude Opus 4.8 for agentic coding pipelines where cost matters — the performance gap does not justify Opus pricing for many tasks.
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Leverage its 1 million token context window for large, multi-file code migrations and complex projects where context retention is critical.
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Use it to scaffold front-end projects cheaply rather than as a final-polish tool — pair with a stronger design-focused model like Fable 5 for finished output.
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Access it via the Meta Model API public preview to integrate it with custom agents, MCP servers, and multi-agent workflows.
Notable quotes
“Loop engineering when done properly goes far beyond extended inference because it is about managing context intelligently, prompting workers clearly, and forcing agents to stay honest about their progress, mistakes, and uncertainty.”
“Better agent performance is not just always about using the most expensive model or simply letting it run for a longer period.”
“I personally think that it is neck and neck with Grok 4.5 — it is really good with its agentic capabilities but in some areas it could be a bit better.”
Worth watching?
⏭️
Worth watching the full video?
The key findings and demo results are all captured here — skip the video unless you want to see the live front-end generations and Minecraft clone footage, which adds limited extra signal.
Saved you some time? The creator still deserves a like.
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