How do Claude Opus 5 and GPT-5.6 Luna compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Claude Opus 5 and GPT-5.6 Luna when publicly disclosed.

LLM Comparison

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

Q: Which is better: Claude Opus 5 or GPT-5.6 Luna?

AskClash compares Claude Opus 5 and GPT-5.6 Luna side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

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.

Open live leaderboard Claude Opus 5 model page GPT-5.6 Luna model page

Rank #1 vs #17AskClash overall scores 94.2 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 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	GPT-5.6 Luna
Overall Score	94.2	62.2
Leaderboard Rank	#1	#17
RWT	9.0	9.5
Coding Agent Index	—	75.0
HLE	64.7	—
GPQA	—	92.3
SWE-bench	96.0	—
SWE-Pro	79.2	62.7
SWE-Atlas	—	81.0
Terminal-Bench	—	84.7
DeepSWE	68.8	67.2
MCP Atlas	85.8	—
Finance Agent	—	55.0
MMMU-Pro	—	78.4
ARC-AGI 2	90.4	59.5
MRCR	—	41.3
Input Price (per 1M tokens)	$5.00	$1.00
Output Price (per 1M tokens)	$25.0	$6.00
Context Window	1M	1M
Benchmarks Published	8	13

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

Claude Opus 5 leads 4 and GPT-5.6 Luna leads 1 of 5 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

94.2Claude Opus 5

62.2GPT-5.6 Luna

RWT

9.0Claude Opus 5

9.5GPT-5.6 Luna

SWE-Pro

79.2Claude Opus 5

62.7GPT-5.6 Luna

DeepSWE

68.8Claude Opus 5

67.2GPT-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 vs Claude Fable 5 Claude Fable 5 vs GPT-5.6 Luna Claude Opus 5 vs GPT-5.6 Sol GPT-5.6 Sol vs GPT-5.6 Luna Claude Opus 5 vs Claude Opus 4.8 Claude Opus 4.8 vs GPT-5.6 Luna Claude Opus 5 vs Claude Opus 4.7 Claude Opus 4.7 vs GPT-5.6 Luna Claude Opus 5 vs Kimi K3 Kimi 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.