LLM Comparison

GPT-5.6 Luna vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Luna vs Muse Spark 1.2 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 #18 vs #23AskClash overall scores 55.0 vs 53.0.
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 1.2 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGPT-5.6 LunaMuse Spark 1.2
Overall Score55.053.0
Leaderboard Rank#18#23
ACB56.154.8
RWT9.57.5
Coding Agent Index75.0
GPQA92.3
SWE-Pro62.7
SWE-Atlas81.0
Terminal-Bench84.7
DeepSWE67.259.0
GDPval-AA1592.0
MCP Atlas82.2
Finance Agent55.0
MMMU-Pro78.4
ARC-AGI 259.5
MRCR41.3
Input Price (per 1M tokens)$1.00$1.25
Output Price (per 1M tokens)$6.00$4.25
Context Window1M1M
Benchmarks Published134

GPT-5.6 Luna vs Muse Spark 1.2 head-to-head charts

GPT-5.6 Luna leads 4 and Muse Spark 1.2 leads 0 of 4 shared benchmarks. Muse Spark 1.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 LunaMuse Spark 1.2
Overall
55.0GPT-5.6 Luna
53.0Muse Spark 1.2
ACB
56.1GPT-5.6 Luna
54.8Muse Spark 1.2
RWT
9.5GPT-5.6 Luna
7.5Muse Spark 1.2
DeepSWE
67.2GPT-5.6 Luna
59.0Muse Spark 1.2
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M
Muse Spark 1.2
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 1.2 comparisons

Explore how GPT-5.6 Luna and Muse Spark 1.2 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

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.