LLM Comparison

Claude Opus 5 vs GPT-5.6 Luna: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 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 ranks higher (#4 vs #96) and wins 10 of 11 shared benchmarks; GPT-5.6 Luna costs less ($1.00/$6.00 vs $5.00/$25.0 per 1M tokens).

Open live leaderboardClaude Opus 5 model pageGPT-5.6 Luna model page
Rank #4 vs #96AskClash overall scores 75.0 vs 50.5.
Pricing $5.00/$25.0 vs $1.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Opus 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.

MetricClaude Opus 5GPT-5.6 Luna
Overall Score75.050.5
Leaderboard Rank#4#96
ACB70.556.1
RWT9.09.5
Coding Agent Index—75.0
HLE64.739.5
GPQA93.292.3
SWE-bench96.0—
SWE-Pro79.262.7
SWE-Atlas—81.0
Terminal-Bench49.011.6
DeepSWE73.667.2
GDPval-AA1861.01592.0
MCP Atlas85.8—
Finance Agent58.655.0
MMMU-Pro84.778.4
ARC-AGI 290.459.5
MRCR—41.3
Input Price (per 1M tokens)$5.00$1.00
Output Price (per 1M tokens)$25.0$6.00
Context Window1M1M
Benchmarks Published1415

Claude Opus 5 vs GPT-5.6 Luna head-to-head charts

Claude Opus 5 leads 11 and GPT-5.6 Luna leads 1 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.

Claude Opus 5GPT-5.6 Luna
Overall
75.0Claude Opus 5
50.5GPT-5.6 Luna
ACB
70.5Claude Opus 5
56.1GPT-5.6 Luna
RWT
9.0Claude Opus 5
9.5GPT-5.6 Luna
HLE
64.7Claude Opus 5
39.5GPT-5.6 Luna
GPQA
93.2Claude Opus 5
92.3GPT-5.6 Luna
SWE-Pro
79.2Claude Opus 5
62.7GPT-5.6 Luna
Terminal-Bench
49.0Claude Opus 5
11.6GPT-5.6 Luna
DeepSWE
73.6Claude Opus 5
67.2GPT-5.6 Luna
GDPval-AA
1861.0Claude Opus 5
1592.0GPT-5.6 Luna
Finance Agent
58.6Claude Opus 5
55.0GPT-5.6 Luna
MMMU-Pro
84.7Claude Opus 5
78.4GPT-5.6 Luna
ARC-AGI 2
90.4Claude Opus 5
59.5GPT-5.6 Luna
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
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 and GPT-5.6 Luna comparisons

Explore how Claude Opus 5 and GPT-5.6 Luna stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Claude Opus 5Claude Opus 5.5 vs GPT-5.6 LunaClaude Fable 5.1 vs Claude Opus 5Claude Fable 5.1 vs GPT-5.6 LunaClaude Sonnet 5.5 vs Claude Opus 5Claude Sonnet 5.5 vs GPT-5.6 LunaClaude Opus 5 vs Claude Fable 5Claude Fable 5 vs GPT-5.6 LunaClaude Opus 5 vs Gemini 4 ArgonGemini 4 Argon vs GPT-5.6 Luna

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.