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Grok Imagine Image 2.0 vs Muse Spark 1.3

Comparing Grok Imagine Image 2.0 and Muse Spark 1.3 across benchmarks, pricing, and capabilities.

xAI · Meta · Updated for 2026

Which is better?

Grok Imagine Image 2.0 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 Grok Imagine Image 2.0

  • you are already invested in the xAI 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 Grok Imagine Image 2.0 vs Muse Spark 1.3.

Which is better, Grok Imagine Image 2.0 or Muse Spark 1.3?

Grok Imagine Image 2.0 (xAI) 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 Grok Imagine Image 2.0 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 Grok Imagine Image 2.0 and Muse Spark 1.3?

Grok Imagine Image 2.0 supports 10K 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 Grok Imagine Image 2.0 and Muse Spark 1.3?

Key differences include context window (10K vs 1.0M). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok Imagine Image 2.0 and Muse Spark 1.3?

Grok Imagine Image 2.0 is developed by xAI and Muse Spark 1.3 is developed by Meta.

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