# Muse Spark 1.1 Muse Spark 1.1 is an AI model released by Meta on Jul 9 2026. It has a 1M context window. Tracked results include 20% on Harvey's Legal Agent Benchmark, 79.72% on TaxEval v2 and 88.89% on MedScribe. ## Facts | Field | Value | | --- | --- | | Model | Muse Spark 1.1 | | Developer | Meta | | Release date | Thursday, Jul 9 2026 | | Licensing | Closed | | Context window | 1M | ## API pricing All rates in USD per 1,000,000 tokens, pay-as-you-go. | Tier | Input | Output | | --- | --- | --- | | Pay as you go | $1.25 | $4.25 | Verified August 18, 2026 against the first-party source: https://developer.meta.com/ai/resources/blog/build-with-muse-spark ## Tracked benchmark scores | Benchmark | Score | Source | What it measures | | --- | --- | --- | --- | | ProgramBench | 0% | [ProgramBench](https://programbench.com/), retrieved 2026-10-05 | 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. | | SWE-Bench Pro | 61.5% | Lab | 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. | | DeepSWE 1.1 | 53.3% | Lab | 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. | | Terminal-Bench 2.1 | 80% | Lab | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | | MCP Atlas | 88.1% | Lab | Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | | JobBench | 54.7% | Lab | 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. | | Toolathlon-Verified | 75.6% | Lab | Tests how well the AI uses everyday personal tools and apps to get things done — a human-checked version of Toolathlon. Higher is better. | | Humanity's Last Exam (with tools) | 62.1% | Lab | 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. | | OSWorld-Verified | 80.8% | Lab | Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | | Finance Agent v2 | 57.2% | Lab | Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better. | | Harvey's Legal Agent Benchmark | 20% | Lab | 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. | | TaxEval v2 | 79.72% | Lab | A set of real tax questions created by Vals AI — can the AI give accurate answers about tax rules and filings? Higher is better. | | MedScribe | 88.89% | Lab | Can the AI support doctors with their administrative work, like notes and paperwork? Created by Vals AI. Higher is better. | | CharXiv Reasoning | 88.4% | Lab | Can the AI read and reason about complex charts and figures, not just text? Higher is better. | | BabyVision | 76.3% | Lab | Tests core visual reasoning — seeing and understanding images the way even young children can, which AIs often find surprisingly hard. Higher is better. | ## About Muse Spark 1.1 Muse Spark 1.1 was introduced on July 9, 2026 as Meta's update to its multimodal reasoning model. The release emphasized gains in coding, computer use and planning tasks that extended across tools and applications. It also opened a public preview of the Meta Model API, giving developers access beyond the model's deployment in Meta AI's Thinking mode. Meta described a one-million-token context window and training for agent orchestration, including delegating work and compacting context during long sessions. Its software-engineering demonstrations combined code changes, visual inspection and validation. Muse Spark 1.1 therefore marked both a capability update and a distribution milestone for the hosted Muse line, distinct from the downloadable Llama families that preceded it. ## Questions and answers ### When was Muse Spark 1.1 released? Muse Spark 1.1 was released by Meta on Thursday, Jul 9 2026. ### Who made Muse Spark 1.1? Muse Spark 1.1 was built by Meta. Develops the open-weight Llama series of models. Committed to open-source AI research. ### How much does Muse Spark 1.1 cost? Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens through the Meta API. Rates are pay-as-you-go API prices verified against Meta's published pricing on August 18, 2026. ### What benchmark scores did Muse Spark 1.1 get? Muse Spark 1.1 reports 15 tracked benchmark scores — ProgramBench: 0%; SWE-Bench Pro: 61.5%; DeepSWE 1.1: 53.3%; Terminal-Bench 2.1: 80%; MCP Atlas: 88.1%; JobBench: 54.7%; Toolathlon-Verified: 75.6%; Humanity's Last Exam (with tools): 62.1%; OSWorld-Verified: 80.8%; Finance Agent v2: 57.2%; Harvey's Legal Agent Benchmark: 20%; TaxEval v2: 79.72%; MedScribe: 88.89%; CharXiv Reasoning: 88.4%; BabyVision: 76.3%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. It holds the best score among all models tracked here on Harvey's Legal Agent Benchmark, TaxEval v2 and MedScribe. ### What is the context window of Muse Spark 1.1? Muse Spark 1.1 has a context window of 1M. Providers may specify separate input and output token limits. ### Is Muse Spark 1.1 open source? No. Muse Spark 1.1 is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms. ### What came before and after Muse Spark 1.1? Meta's previous tracked release was Muse Spark on Apr 8 2026, 92 days earlier. It was followed by Muse Spark 1.2 on Aug 5 2026. --- Canonical page: https://aireleasetracker.com/model/meta/muse-spark-1.1 Site index: https://aireleasetracker.com/llms.txt Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.