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Muse Image vs Muse Spark 1.3

Comparing Muse Image and Muse Spark 1.3 across benchmarks, pricing, and capabilities.

Meta · Meta · Updated for 2026

Which is better?

Muse Image and Muse Spark 1.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Muse Spark 1.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Muse Image

  • you are already invested in the Meta ecosystem

Choose Muse Spark 1.3

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

FAQ

Common questions about Muse Image vs Muse Spark 1.3.

Which is better, Muse Image or Muse Spark 1.3?

Muse Image (Meta) and Muse Spark 1.3 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Muse Image compare to Muse Spark 1.3 in benchmarks?

Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for Muse Image and Muse Spark 1.3?

Muse Image supports 4K tokens and Muse Spark 1.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Image and Muse Spark 1.3?

Key differences include context window (4K vs 1.0M). See the full comparison above for benchmark-by-benchmark results.

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