Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-5.6 Luna vs Muse Spark 1.1: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 Luna vs Muse Spark 1.1 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.
Rank #16 vs #17AskClash overall scores 61.2 vs 61.1.
Pricing $1.00/$6.00 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Meta.
GPT-5.6 Luna vs Muse Spark 1.1 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.6 Luna | Muse Spark 1.1 |
|---|---|---|
| Overall Score | 61.2 | 61.1 |
| Leaderboard Rank | #16 | #17 |
| ACB | 56.1 | 51.3 |
| RWT | 9.5 | 7.5 |
| Coding Agent Index | 75.0 | — |
| HLE | — | 62.1 |
| GPQA | 92.3 | — |
| SWE-Pro | 62.7 | 61.5 |
| SWE-Atlas | 81.0 | — |
| Terminal-Bench | 84.7 | 80.0 |
| DeepSWE | 67.2 | 53.3 |
| GDPval-AA | 1592.0 | 1381.0 |
| OSWorld | — | 80.8 |
| MCP Atlas | — | 88.1 |
| Finance Agent | 55.0 | 57.2 |
| CharXiv | — | 88.4 |
| MMMU-Pro | 78.4 | — |
| ARC-AGI 2 | 59.5 | — |
| MRCR | 41.3 | 54.1 |
| Input Price (per 1M tokens) | $1.00 | $1.25 |
| Output Price (per 1M tokens) | $6.00 | $4.25 |
| Context Window | 1M | 1M |
| Benchmarks Published | 13 | 12 |
GPT-5.6 Luna vs Muse Spark 1.1 head-to-head charts
GPT-5.6 Luna leads 7 and Muse Spark 1.1 leads 2 of 9 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-5.6 LunaMuse Spark 1.1
Overall
ACB
RWT
SWE-Pro
Terminal-Bench
DeepSWE
GDPval-AA
Finance Agent
MRCR
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-5.6 Luna and Muse Spark 1.1 comparisons
Explore how GPT-5.6 Luna and Muse Spark 1.1 stack up against other top-ranked LLMs.
How to read this comparison
Token pricing
Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.
Coverage matters
Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.
This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.