GPT-5.6 Luna vs Muse Spark 1.3: Specs & Benchmark Comparison
| Characteristic | GPT-5.6 Luna | Muse Spark 1.3 |
|---|---|---|
| Company | OpenAI | Meta |
| Release Date | July 9, 2026 | September 2, 2026 |
| Parameters | — | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.1M | 1.0M |
| Context (output) | 128K | 944K |
| Input Price / 1M | $0.20 | $0.10 |
| Output Price / 1M | $1.20 | $0.20 |
| Average Score | 0.5 | 0.7 |
| Benchmarks | ||
| MRCR v2 (8-needle) | 0.4 | 1.0 |
| MRCR v2 (8-needle, 512K-1M) | 0.4 | 1.0 |
| AutomationBench | 0.1 | 0.5 |
| OSWorld 2.0 | 0.5 | 0.7 |
| DeepSWE 1.1 | 0.7 | 0.8 |
| Terminal-Bench 2.1 | 0.8 | 0.9 |
Visual Benchmark Comparison
GPT-5.6 Luna
Muse Spark 1.3
MRCR v2 (8-needle)0.4 vs 1.0
0.4
1.0
MRCR v2 (8-needle, 512K-1M)0.4 vs 1.0
0.4
1.0
AutomationBench0.1 vs 0.5
0.1
0.5
OSWorld 2.00.5 vs 0.7
0.5
0.7
DeepSWE 1.10.7 vs 0.8
0.7
0.8
Terminal-Bench 2.10.8 vs 0.9
0.8
0.9
Verdict
Muse Spark 1.3 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.6 Luna — 0.5, Muse Spark 1.3 — 0.7.
API Cost
Muse Spark 1.3 is 4.7x cheaper: input $0.10/1M vs $0.20/1M tokens.
Context Window
GPT-5.6 Luna supports a larger context: 1M vs 1M tokens.
Recency
Muse Spark 1.3 is newer: released 9/2/2026 vs 7/9/2026.
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Frequently Asked Questions
Which is better for coding — GPT-5.6 Luna or Muse Spark 1.3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GPT-5.6 Luna or Muse Spark 1.3?
Muse Spark 1.3 is cheaper for input: $0.10 per 1M tokens vs $0.20.
Which has a larger context window — GPT-5.6 Luna or Muse Spark 1.3?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 1,048,576.
The GPT-5.6 Luna and Muse Spark 1.3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.6 Luna or Muse Spark 1.3 page. See also the complete list of AI model comparisons.