Muse Spark

meta

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Coding Index
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Score awaiting verification

Coding tier
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Context
128,000
Input Price
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per 1M tokens
Output Price
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per 1M tokens

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps. Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

No tier assessment yet. Models awaiting tier review remain in the catalog. An unassigned tier does not mean weaker capability.

Price awaiting official review

Capabilities & Recommended Uses

Strengths

  • •Open-source coding model
  • •Good for self-hosting
  • •Active community
  • •Competitive on benchmarks

Best For

  • •Self-hosting
  • •Research
  • •Open-source projects
  • •Budget coding

Weaknesses

  • •Less capable than proprietary models
  • •Requires significant compute to run

Frequently Asked Questions

What is Muse Spark's coding score and ranking tier?

Muse Spark by meta is rated as Tier Pending on ModelRank with a coding score of Score awaiting verification as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.

What is the API pricing and context window for Muse Spark?

Muse Spark features a 128,000 token context window. Pricing is pending quotation per 1M input tokens and pending quotation per 1M output tokens (Price awaiting official review).

What programming tasks is Muse Spark best suited for?

Muse Spark is recommended for: Self-hosting, Research, Open-source projects, Budget coding. Key strengths include: Open-source coding model, Good for self-hosting, Active community, Competitive on benchmarks.

Last updated: July 1, 2026