LLM Comparison

Claude Opus 4.7 vs GPT-5.6 Luna: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.7 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.

Open live leaderboardClaude Opus 4.7 model pageGPT-5.6 Luna model page
Rank #5 vs #17AskClash overall scores 77.1 vs 62.2.
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 4.7 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 4.7GPT-5.6 Luna
Overall Score77.162.2
Leaderboard Rank#5#17
RWT8.59.5
Coding Agent Index50.375.0
HLE54.7—
GPQA94.292.3
SWE-bench87.6—
SWE-Pro64.362.7
SWE-Atlas—81.0
Terminal-Bench69.484.7
DeepSWE—67.2
OSWorld78.0—
MCP Atlas77.3—
Finance Agent64.455.0
CharXiv91.0—
MMMU-Pro75.278.4
ARC-AGI 275.859.5
Tau288.6—
MRCR—41.3
Input Price (per 1M tokens)$5.00$1.00
Output Price (per 1M tokens)$25.0$6.00
Context Window1M1M
Benchmarks Published1413

Claude Opus 4.7 vs GPT-5.6 Luna head-to-head charts

Claude Opus 4.7 leads 5 and GPT-5.6 Luna leads 4 of 9 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 4.7GPT-5.6 Luna
Overall
77.1Claude Opus 4.7
62.2GPT-5.6 Luna
RWT
8.5Claude Opus 4.7
9.5GPT-5.6 Luna
Coding Agent Index
50.3Claude Opus 4.7
75.0GPT-5.6 Luna
GPQA
94.2Claude Opus 4.7
92.3GPT-5.6 Luna
SWE-Pro
64.3Claude Opus 4.7
62.7GPT-5.6 Luna
Terminal-Bench
69.4Claude Opus 4.7
84.7GPT-5.6 Luna
Finance Agent
64.4Claude Opus 4.7
55.0GPT-5.6 Luna
MMMU-Pro
75.2Claude Opus 4.7
78.4GPT-5.6 Luna
ARC-AGI 2
75.8Claude Opus 4.7
59.5GPT-5.6 Luna
Claude Opus 4.7
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 4.7 and GPT-5.6 Luna comparisons

Explore how Claude Opus 4.7 and GPT-5.6 Luna stack up against other top-ranked LLMs.

Claude Opus 5 vs Claude Opus 4.7Claude Opus 5 vs GPT-5.6 LunaClaude Fable 5 vs Claude Opus 4.7Claude Fable 5 vs GPT-5.6 LunaGPT-5.6 Sol vs Claude Opus 4.7GPT-5.6 Sol vs GPT-5.6 LunaClaude Opus 4.8 vs Claude Opus 4.7Claude Opus 4.8 vs GPT-5.6 LunaClaude Opus 4.7 vs Kimi K3Kimi K3 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.