LLM Comparison

GPT-5.6 Luna vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Luna vs GPT-5.5 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 #21 vs #22AskClash overall scores 64.8 vs 64.7.
Pricing $1.00/$6.00 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Luna vs GPT-5.5 benchmark comparison

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

MetricGPT-5.6 LunaGPT-5.5
Overall Score64.864.7
Leaderboard Rank#21#22
ACB56.162.0
RWT9.58.0
Coding Agent Index75.0
HLE39.552.2
GPQA92.393.6
IFEval75.9
SWE-Pro62.758.6
SWE-Atlas81.0
Terminal-Bench84.782.7
DeepSWE67.267.0
GDPval-AA1592.01335.9
OSWorld78.7
MCP Atlas75.3
Finance Agent55.051.8
MMMU-Pro78.481.2
ARC-AGI 259.585.0
Tau298.0
MRCR41.3
Input Price (per 1M tokens)$1.00$5.00
Output Price (per 1M tokens)$6.00$30.0
Context Window1M1M
Benchmarks Published1514

GPT-5.6 Luna vs GPT-5.5 head-to-head charts

GPT-5.6 Luna leads 7 and GPT-5.5 leads 5 of 12 shared benchmarks. GPT-5.6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 LunaGPT-5.5
Overall
64.8GPT-5.6 Luna
64.7GPT-5.5
ACB
56.1GPT-5.6 Luna
62.0GPT-5.5
RWT
9.5GPT-5.6 Luna
8.0GPT-5.5
HLE
39.5GPT-5.6 Luna
52.2GPT-5.5
GPQA
92.3GPT-5.6 Luna
93.6GPT-5.5
SWE-Pro
62.7GPT-5.6 Luna
58.6GPT-5.5
Terminal-Bench
84.7GPT-5.6 Luna
82.7GPT-5.5
DeepSWE
67.2GPT-5.6 Luna
67.0GPT-5.5
GDPval-AA
1592.0GPT-5.6 Luna
1335.9GPT-5.5
Finance Agent
55.0GPT-5.6 Luna
51.8GPT-5.5
MMMU-Pro
78.4GPT-5.6 Luna
81.2GPT-5.5
ARC-AGI 2
59.5GPT-5.6 Luna
85.0GPT-5.5
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-5.6 Luna and GPT-5.5 comparisons

Explore how GPT-5.6 Luna and GPT-5.5 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.