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Meta Muse Spark 1.1

by Meta · first paid Meta model · released July 9, 2026

Meta Superintelligence Labs' multimodal, agentic reasoning model — and the first time Meta has charged developers for API access.

Input $1.25 / 1M
Output $4.25 / 1M
Context 1M
Tier Flagship
Meta Model API ↗ Updated July 9, 2026
§ API pricing

Per-token rates.

Input
$1.25/1M tokens
Prompt tokens
  • Text, image, and video inputs
  • $20 free credits to start
  • Pay-as-you-go after credits
Output
$4.25/1M tokens
Completion tokens
  • Includes reasoning tokens
  • Undercuts most frontier flagships
  • US public preview
Context
1Mtokens
Window
  • Model actively manages its context
  • Long documents and codebases
  • Multimodal (text, image, video)
Access
PreviewMeta Model API
Public preview (US)
  • Sign up for $20 in free credits
  • Meta's first paid model tier
  • Built for agentic workloads

Muse Spark 1.1 launches at $1.25 / 1M input and $4.25 / 1M output on the Meta Model API, with $20 in free credits to test before pay-as-you-go pricing kicks in.

What's new in Muse Spark 1.1

Meta introduced Muse Spark 1.1 on July 9, 2026, the latest model from Meta Superintelligence Labs under Alexandr Wang — and a milestone: it's the first time Meta has charged businesses for access to its models. Where Meta's earlier releases leaned on open weights, Muse Spark 1.1 ships a paid tier on the Meta Model API at $1.25 input and $4.25 output per 1M tokens, with $20 in free credits to start.

It's a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding. Meta says it beats Google's latest Gemini release on benchmarks measuring coding and reasoning. The model can actively manage its 1M-token context window rather than treating it as a static buffer.

Capabilities

Muse Spark 1.1 can write and debug code, use software and external tools, understand text, images, and video, and carry out complex multi-step tasks with less human intervention. That agentic profile — plus a low output price — positions it against the mid-tier flagships from OpenAI, Anthropic, and Google, at a time when Meta is accelerating its AI push.

Typical use cases

  • Agentic workflows with tool and computer use
  • Code generation and debugging
  • Multimodal understanding (text, image, video)
  • Long-context document and codebase analysis
  • Multi-step automation with less supervision

Rival comparison

ModelInput / 1MOutput / 1MContext
Meta Muse Spark 1.1$1.25$4.251M
GPT-5.6 Terra$2.50$151M
Claude Sonnet 5$3$151M
Gemini 3.1 Pro$2$121M
Grok 4.5$2$6500K

On price, Muse Spark 1.1 undercuts every mid-tier flagship listed here on output tokens — cheaper than Gemini 3.1 Pro, Claude Sonnet 5, and Grok 4.5 — while claiming benchmark wins over Gemini. It's an aggressive debut for Meta's first paid model.

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