Muse Spark 1.1
Released
Muse Spark 1.1 is an AI model released by Meta on Thursday, Jul 9 2026, 92 days after Muse Spark. Benchmark results (shown below) cover MCP Atlas, Harvey's Legal Agent Benchmark, TaxEval v2, MedScribe, ProgramBench, SWE-Bench Pro, and 9 more.
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API pricing
- InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
- $1.25
- OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
- $4.25
- Reasoning or thinking is supported.
USD per 1M tokensEvery price here is for one million tokens. A token is roughly three-quarters of a word, so a million tokens is about 750,000 words of text.Model mappingVerified August 18, 2026Read from developer.meta.com. Click the check to open the source.
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Benchmarks
Coding
ProgramBenchProgram reconstruction — The AI receives a working program and its documentation, then builds a replacement from scratch without the original source code, internet access or decompilation. The score is the percentage of 200 programs that pass every behavioral test. We record each model's best published mini-SWE-agent result, including higher reasoning efforts where available. Partial test-pass rates and almost-solved programs do not count toward this score. Equal scores share a rank here; the official board also uses partial progress to break ties. Higher is better.via ProgramBench
0%
#6 of 20Best: Claude Opus 5 · 4.5%
SWE-Bench ProAgentic coding — Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better.
61.5%
#12 of 23Best: Claude Fable 5.1 · 81.2%
DeepSWE 1.1Agentic coding — Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better.
53.3%
#24 of 32Best: Gemini 4 Argon · 77.9%
Terminal & CLI
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better.
80%
#20 of 32Best: DeepSeek-V4.1-Flash · 90.6%
Agentic & tool use
MCP AtlasMulti-step tool use — Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better.
88.1%
#1Best published MCP Atlas score of all tracked models
JobBenchProfessional tool use — Tests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better.
54.7%
#4 of 8Best: Muse Spark 1.3 · 64.9%
Toolathlon-VerifiedPersonal tool use — Tests how well the AI uses everyday personal tools and apps to get things done — a human-checked version of Toolathlon. Higher is better.
75.6%
#2 of 9Best: GLM-5.3-Flash · 78.4%
OSWorld-VerifiedAgentic computer use — Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better.
80.8%
#8 of 28Best: Qwen3.8-Max · 86.1%
Reasoning & science
Humanity's Last ExamMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better.
62.1%with tools
#9 of 45Best: Claude Opus 5.5 · 67.7%
Finance
Finance Agent v2Agentic financial analysis — Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better.
57.2%
#4 of 10Best: Gemini 4 Argon · 65.4%
Legal & tax
Harvey's Legal Agent BenchmarkAgentic legal work — Harvey's test of whether an AI agent can complete real legal work — drafting and reviewing documents, working with spreadsheets and presentations, and navigating files the way a lawyer's assistant would. Higher is better.
20%
#1Best published Harvey Legal score of all tracked models
TaxEval v2Tax questions — A set of real tax questions created by Vals AI — can the AI give accurate answers about tax rules and filings? Higher is better.
79.72%
#1Best published TaxEval score of all tracked models
Healthcare
MedScribeMedical admin work — Can the AI support doctors with their administrative work, like notes and paperwork? Created by Vals AI. Higher is better.
88.89%
#1Best published MedScribe score of all tracked models
Multimodal
CharXiv ReasoningChart reasoning — Can the AI read and reason about complex charts and figures, not just text? Higher is better.
88.4%
#2 of 16Best: Muse Spark · 88.9%
BabyVisionVisual reasoning — Tests core visual reasoning — seeing and understanding images the way even young children can, which AIs often find surprisingly hard. Higher is better.
76.3%
#2 of 4Best: Qwen3.8-Max · 82%
Source: ProgramBench, retrieved 5 October 2026. Other sources are identified on the linked benchmark pages.
Compare Muse Spark 1.1 with
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Muse Spark 1.1 was released by Meta on Thursday, Jul 9 2026.