Meta Launches Muse Spark 1.1 and Public Meta Model API Preview

TLDR

Meta on July 9, 2026 introduced Muse Spark 1.1, a major upgrade from the April Muse Spark release, and opened a public preview of the Meta Model API so developers can build on it. Meta positions 1.1 as a multimodal reasoning model built for agentic work—tool and computer use, coding on large codebases, multi-agent orchestration, and a 1M-token context window—available now in Thinking mode in the Meta AI app and on meta.ai. The same week Meta shipped Muse Image (July 7); Watermelon, a larger training run, remains unreleased.

What Meta shipped

From Meta’s primary blog “Introducing Muse Spark 1.1” (ai.meta.com, July 9) and contemporaneous Reuters/CNBC/Axios/NYT coverage:

Model

• Muse Spark 1.1: Multimodal reasoning model with “major gains” in tool/computer use, coding, and multimodal understanding vs Muse Spark.
• Agents: Zero-shot generalization to native tools, MCP servers, and custom skills; multi-agent planning with parallel subagents for latency; active management of a 1 million token context window (memory, retrieval, compaction).
• Computer use: Multi-app workflows; script automation when faster than click-by-click UI; batch action generation; adapts when mid-task context changes.
• Coding: Stronger on large/complex codebases, bugs, features, migrations; works with popular agentic coding harnesses (planning, goal conditioning, subagent delegation, context compaction). Meta cites large gains on internal Meta Internal Coding Bench.
• Multimodal: Visual-to-code, dense image/video captioning, perception + action loops (e.g. Marketplace listing demos from phone video).
• Safety: Evaluated under Meta’s Advanced AI Scaling Framework; claim of safe margins on chem/bio, cyber, and loss-of-control categories; improved jailbreak/prompt-injection robustness and lower hallucination/sycophancy vs prior (per Meta evaluation report).

Access & packaging

• Meta AI / meta.ai: Available now in Thinking mode.
• Meta Model API: Public preview—first time external developers get broad API access (April Spark had been private/select partners only).
• Early partner quotes in Meta’s post: Replit, Cline, Box, OpenClaw—framed around agentic coding and enterprise workflow evals.
• Pricing (CNBC, Wang interview): $1.25 / $4.25 per million input/output tokens; $20 free credits for new API accounts; described as “very aggressive and attractive” vs peer labs. Preview access reported as U.S.-first.
• Alexandr Wang (Meta CAIO) to press: strongest model yet for agentic and coding work; Watermelon still training at much larger scale, later this year.

Why this story matters

July 9 was already the public unlock for GPT‑5.6 and the week of Grok 4.5. Muse Spark 1.1 is Meta’s answer on the paid coding/agent API front—not open weights, not “Llama 5,” but a closed MSL model sold through a Meta Model API against Anthropic and OpenAI. Paired with Muse Image, Superintelligence Labs is shipping a product cadence; Watermelon is the bet that Meta still has a larger step left.

Sources

• Meta AI Blog: “Introducing Muse Spark 1.1” (July 9, 2026). https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/
• Meta: Muse Spark 1.1 Evaluation Report / methodology (linked from the launch post).
• Reuters, CNBC, Axios, New York Times same-day coverage of Muse Spark 1.1 and developer API preview (July 9, 2026).

Featured Image Alt Text

Meta Muse Spark 1.1 badge with agent tool-use icons and Meta Model API developer console for July 9.

Tags

Meta, Muse Spark 1.1, Meta Model API, Meta Superintelligence Labs, Agents, Coding, Multimodal, Models