Anthropic Claude Haiku 4.5 VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 23.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Claude Haiku 4.5 is 1.1x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Claude Haiku 4.5 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
Claude Haiku 4.5
Benchmarks & Scores
Coding (swe-bench-pro)
39.5%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
73%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)1.1x cheaper
$2.00Input: $1.00 | Output: $5.00Context Window
200k tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+23.2%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+19.3%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Claude Haiku 4.5 vs GPT-5.6 Luna comparison
Claude Haiku 4.5 is cheaper than GPT-5.6 Luna. Claude Haiku 4.5 has a blended cost of $2.00/1M tokens, which is about 1.1x 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 Claude Haiku 4.5 which scores 39.5%.
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