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
Claude Opus 5.5 vs GPT-5.6 Luna: benchmark scores, pricing & comparison.
Side-by-side Claude Opus 5.5 vs GPT-5.6 Luna 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.
Verdict: Claude Opus 5.5 ranks higher (#1 vs #40) and wins 9 of 9 shared benchmarks; GPT-5.6 Luna costs less ($1.00/$6.00 vs $4.00/$20.0 per 1M tokens).
Rank #1 vs #40AskClash overall scores 80.0 vs 51.1.
Pricing $4.00/$20.0 vs $1.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.
Claude Opus 5.5 vs GPT-5.6 Luna benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Claude Opus 5.5 | GPT-5.6 Luna |
|---|---|---|
| Overall Score | 80.0 | 51.1 |
| Leaderboard Rank | #1 | #40 |
| ACB | 76.5 | 56.1 |
| RWT | — | 9.5 |
| Coding Agent Index | — | 75.0 |
| HLE | 67.7 | 39.5 |
| GPQA | — | 92.3 |
| SWE-Pro | 89.9 | 62.7 |
| SWE-Atlas | — | 81.0 |
| Terminal-Bench | 59.6 | 11.6 |
| DeepSWE | 74.2 | 67.2 |
| GDPval-AA | 1846.2 | 1592.0 |
| Finance Agent | 58.6 | 55.0 |
| MMMU-Pro | 87.7 | 78.4 |
| ARC-AGI 2 | 91.7 | 59.5 |
| MRCR | — | 41.3 |
| Input Price (per 1M tokens) | $4.00 | $1.00 |
| Output Price (per 1M tokens) | $20.0 | $6.00 |
| Context Window | 1M | 1M |
| Benchmarks Published | 12 | 15 |
Claude Opus 5.5 vs GPT-5.6 Luna head-to-head charts
Claude Opus 5.5 leads 10 and GPT-5.6 Luna leads 0 of 10 shared benchmarks. GPT-5.6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Claude Opus 5.5GPT-5.6 Luna
Overall
ACB
HLE
SWE-Pro
Terminal-Bench
DeepSWE
GDPval-AA
Finance Agent
MMMU-Pro
ARC-AGI 2
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
Context1M
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Claude Opus 5.5 and GPT-5.6 Luna comparisons
Explore how Claude Opus 5.5 and GPT-5.6 Luna stack up against other top-ranked LLMs.
Claude Opus 5.5 vs Claude Fable 5.1Claude Fable 5.1 vs GPT-5.6 LunaClaude Opus 5.5 vs Claude Sonnet 5.5Claude Sonnet 5.5 vs GPT-5.6 LunaClaude Opus 5.5 vs Claude Opus 5Claude Opus 5 vs GPT-5.6 LunaClaude Opus 5.5 vs Claude Fable 5Claude Fable 5 vs GPT-5.6 LunaClaude Opus 5.5 vs Gemini 4 ArgonGemini 4 Argon vs GPT-5.6 Luna
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.