Observed Signal · Jul 9, 2026 · Technical Release · Source: CNBC Technology · Impact: 4/5 · Sentiment: Positive
Meta launches Muse Spark 1.1 for coding
Meta released Muse Spark 1.1 (published 2026-07-09), a major update from Meta Superintelligence Labs (MSL) positioned for agentic and coding tasks. The model is available via a developer-portal public preview API—an OpenAI-compatible endpoint with closed weights—initially limited to Meta properties with a waitlist. New API accounts receive $20 in free credits; pricing is $1.25 per million input tokens and $4.25 per million output tokens. MSL trained Muse Spark 1.1 to boost coding and agentic capabilities; Meta says a more powerful model codenamed Watermelon is in training and that a Muse Spark variant may be open-sourced later. Concurrently Meta shipped Muse Image and is reportedly building an external cloud business (Meta Compute) while ramping custom MTIA silicon, signaling a shift toward selling proprietary-model access and assembling a full vertical AI stack.
Major platform (Meta) published a technical release with public API access and explicit pricing — this affects competition among foundational-model providers, developer adoption, and potential downstream ad/creative product integrations.
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Key Takeaways & Evidence Grounding
- Muse Spark 1.1 released 2026-07-09 by Meta Superintelligence Labs; focused on agentic and coding tasks.
- API public preview via developer portal with an OpenAI-compatible endpoint and closed model weights; access initially limited to Meta properties with a waitlist.
- Pricing: $20 free credits for new API accounts; $1.25 per million input tokens and $4.25 per million output tokens.
- MSL trained Muse Spark 1.1; Meta is training a larger model codenamed Watermelon and may open-source a Muse Spark variant later.
- Meta shipped Muse Image, is building an external cloud business (Meta Compute), and is ramping MTIA silicon—signaling a move toward a full vertical AI stack and selling proprietary-model access.
Connected Companies & Entities
4 Entities mapped“Three months after unveiling its first artificial intelligence model under the leadership of AI chief Alexandr Wang, Meta is rolling out a m...”
“Three months after unveiling its first artificial intelligence model under the leadership of AI chief Alexandr Wang, Meta is rolling out a m...”
“Three months after unveiling its first artificial intelligence model under the leadership of AI chief Alexandr Wang, Meta is rolling out a m...”
“Meta doesn’t have a cloud infrastructure business (though it plans to start one), and it’s failed to keep up with OpenAI, Anthropic and Goog...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Meta launches Muse Spark 1.1 for agentic coding
Meta publicly launched Muse Spark 1.1, a multimodal AI model aimed at agentic coding and enterprise automation. Spark 1.1 can perform multi-step reasoning, manage digital workflows, fix bugs and assist with large code migrations, according to Meta. Reuters reported Meta will price the model at $1.25 per million input tokens and $4.25 per million output tokens, putting it roughly in line with offerings from Anthropic and OpenAI. CEO Mark Zuckerberg posted about the release on X, calling Spark strong on agentic performance and computer/tool use and indicating more model releases are forthcoming. The launch positions Meta as a late but competitive entrant in an intensifying market of coding-capable foundational models.
Meta launches Muse Code AI coding agent
Meta released Muse Code (beta) on August 5, 2026 — a terminal-installable, single-command tool that coordinates multi-agent coding workflows across repositories while leaving the user’s working copy untouched. It runs on Muse Spark 1.2 (two variants), available inside Muse Code and via the Meta Model API with pay-as-you-go access. Muse Code launches parallel sub-agents in isolated worktrees, runs persistent background agents that resume after crashes, can access local files, GitHub and the web, and logs model calls, tool use, approvals and changes locally; integrated skills include /plan, /grill and /goal. Pricing includes a lower-cost Contributor tier (data opt-in for model training) and a private tier that disallows training, and Meta accepts zero-data-retention enterprise requests. Mark Zuckerberg announced the launches as part of a developer-tools push.
Meta unveils Muse Spark 1.1 agent model
Meta released Muse Spark 1.1, an agent-focused multimodal model designed to plan tasks, coordinate parallel AI sub‑agents, use external tools and execute end‑to‑end workflows. Muse Spark 1.1 supports images, video and audio, claims a context window up to one million tokens, and emphasizes visual‑to‑code generation and agentic control of desktop/web interfaces. Meta published internal benchmarks placing Muse Spark 1.1 competitive with current frontier models (GPT‑5.5, Claude Opus 4.8, Google Gemini 3.1 Pro) for agents and coding tasks. Meta also published API pricing (USD 1.25 per 1M input tokens; USD 4.25 per 1M output tokens) and offers $20 trial credit for new accounts. Demos shown include automating a Facebook Marketplace listing and debugging/code migration workflows, and Meta says developers and researchers already use the model for daily development and research tasks.
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