Meta prices Muse Spark 1.1 API at $1.25/$4.25 per M tokens
TL;DR
- The Meta Model API natively supports both OpenAI Chat Completions and Anthropic Messages formats, removing migration cost for developers already on rival APIs.
- Muse Spark 1.1 leads MCP Atlas tool-use (88.1) but trails GPT-5.5 on DeepSWE 1.1 (53.3 vs 67.0), placing it as an orchestration model.
- Zuckerberg broke a three-year X silence to announce the launch, a move multiple outlets flagged as a deliberate platform-level strategic signal.
Meta finally attached a price tag to one of its models. The Meta AI blog announced Muse Spark 1.1 on July 9, 2026, framed as a multimodal reasoning model with a 1 million token context window, built for agentic tasks, tool use, computer use, and coding. What matters more than the model card is the second thing it shipped alongside: a public preview of the Meta Model API, which the post describes as OpenAI-compatible with structured output and parallel tool calling.
The pricing is the interesting part. According to CNBC, Meta will charge $1.25 per million input tokens and $4.25 per million output tokens, with $20 in free credits for every new API account, and the preview is limited to US developers at launch. Mark Zuckerberg described it as "the first time that we're doing a real serious API" and said "the pricing is going to be very aggressive and attractive." AI chief Alexandr Wang used the same phrase, positioning Muse Spark 1.1 against similar offerings from Anthropic and OpenAI, and called it Meta's "strongest model for agentic and coding work yet."
Why this matters if you are not shopping API prices: this is the first time Meta has charged businesses for access to its models, and it lands roughly a year after Zuckerberg brought Wang in to run Meta Superintelligence Labs. The company is picking price and OpenAI-compatibility as its wedge into the coding-agent market rather than raw benchmark leadership. The Meta blog leads with endorsements from Replit CEO Amjad Masad, Cline CEO Saoud Rizwan, and Box's Yashodha Bhavnani, which reads like a company that wants integrations, not headlines, as the early signal.
The honest caveat is that the blog does not publish specific benchmark scores against GPT or Claude. Wang's "strongest" framing and Masad calling it a "complete agentic foundation" are launch-day language from interested parties, and the coding-agent segment has a habit of eating those claims. What the reporting also does not tell you is the rate limits, how the 1M-token context is priced at length, or when developers outside the US get in.
If Muse Spark 1.1 holds up on independent coding evals, cost-sensitive teams already writing to OpenAI-shaped clients get something they have not really had from a hyperscaler yet, a genuine drop-in cheaper option. That is the pitch worth watching.
What others are reporting
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Bloomberg Read →
Frames this as Meta's fundamental shift from free/open-weights to paid AI services; Wang's 'very aggressive and attractive' pricing quote leads the story.
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CNBC Read →
Competitive coding-market framing positions Meta as a challenger in enterprise automation, naming Anthropic and OpenAI as the specific targets.
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TechCrunch Read →
Notes Zuckerberg's three-year X hiatus ended with this launch and highlights Spark's pricing lead alongside its strengths in agentic performance and tool use.
Spark is 'a strong agentic and coding model at a very low price,' strongest at agentic performance, tool use, and computer use.
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Axios Read →
Developer-audience framing treats the Meta Model API launch as the primary event and the model capability update as a secondary detail.
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DataCamp Read →
Deepest technical breakdown: covers multi-agent orchestration architecture, context compaction mechanics, MCP Atlas benchmark, and dual OpenAI/Anthropic SDK compatibility.
Muse Spark 1.1 is Meta's latest multimodal reasoning model, designed to plan and orchestrate work across external apps and services.
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MarkTechPost Read →
Focuses on active context-window compaction as a structural capability differentiator and flags the paid API as Meta's departure from its open-weights default.
Muse Spark 1.1 leads the tool-use and tool-augmented reasoning rows in Meta's benchmarks.
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Storyboard18 Read →
Brand and communications angle: treats Zuckerberg's X return as the story, framing it as a calculated signal of how strategically significant Meta considers this launch.
A strong agentic and coding model at a very low price.
Shared on Bluesky by 4 AI experts
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Big day and a real API! If anyone has issues/bugs with the model or api functionality let me know and I can look into it :) ai.meta.com/blog/introdu...
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Originally reported by ai.meta.com
Read the original article →Original headline: Meta Launches Muse Spark 1.1 With Public Meta Model API — Multimodal Agentic Model at $1.25/$4.25 per M Tokens, ~25% of OpenAI/Anthropic Pricing