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Anthropic Claude Opus 4.7 VS OpenAI GPT-5.6 Luna

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Opus 4.7 is the premium intelligence choice, scoring 1.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.6 Luna is 4.4x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.6 Luna offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Opus 4.7 fully justifies the cost.
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Model Specs

Claude Opus 4.7

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+1.6%)
64.3%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+1.9%)
94.2%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Context Window
1M tokens
Model Specs

GPT-5.6 Luna

Benchmarks & Scores

Coding (swe-bench-pro)
62.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
92.3%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)4.4x cheaper
$2.25Input: $1.00 | Output: $6.00
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Claude Opus 4.7 vs GPT-5.6 Luna comparison

GPT-5.6 Luna is cheaper than Claude Opus 4.7. GPT-5.6 Luna has a blended cost of $2.25/1M tokens, which is about 4.4x cheaper than Claude Opus 4.7 at $10.00/1M tokens.

Claude Opus 4.7 is better for coding tasks on this benchmark. It scores 64.3% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.6 Luna which scores 62.7%.