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OpenAI GPT-5.4 Pro VS OpenAI GPT-5.6 Luna

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 62.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GPT-5.4 Pro is 16.4x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.4 Pro offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs

GPT-5.4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

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

Reasoning (gpqa-diamond)
67.6%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)16.4x cheaper
$0.14Input: $0.05 | Output: $0.40
Context Window
400k 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)Winner (+24.7%)
92.3%

graduate-level science QA

Cost & Performance

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

Frequently Asked Questions about GPT-5.4 Pro vs GPT-5.6 Luna comparison

GPT-5.4 Pro is cheaper than GPT-5.6 Luna. GPT-5.4 Pro has a blended cost of $0.14/1M tokens, which is about 16.4x cheaper than GPT-5.6 Luna at $2.25/1M tokens.

GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.4 Pro which scores N/A.