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Muse Spark 1.1 – Meta AI

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Meta AI

Muse Spark 1.1 is a Closed frontier API from Meta AI (United States).

One-line fit: best used for Meta product surfaces, competitive API pricing.

Key specifications

Provider Meta AI
Model Muse Spark 1.1
Type Closed frontier API
Context window Large
Pricing (indicative) API under Sonnet-class (launch positioning)
Company category Frontier Lab
Region United States
Official site https://ai.meta.com

Benchmarks and public standing

Consumer + coding improving; API preview Jul 2026

Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.

What this model is good at

Meta product surfaces, competitive API pricing

This aligns with Meta AI’s broader strengths:

  • Open-weight ecosystem (Llama)
  • Free consumer Meta AI
  • Multimodal social products
  • Open innovation

Limitations and watch-outs

Dev platform still maturing vs Claude/GPT

  • Rate limits, regional availability, and data retention policies vary by plan.
  • Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
  • Open-weight availability (if any) is separate from hosted API quality and safety filters.

Ideal users

  • Product engineers shipping features that match: Meta product surfaces, competitive API pricing
  • Teams standardizing on the Meta AI ecosystem
  • Agent builders who need a Closed frontier API

When to pick something else

  • Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
  • Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
  • Giant multimodal corpora / Workspace: compare Gemini-class models.
  • Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.

Parent company

Meta AI – Open-weight Llama lineage plus closed Muse Spark consumer/API push. Massive social distribution.

Related models from Meta AI

Data is curated for AIForumSphere model directory mid-2026 directional figures.

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