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Anthropic Claude Haiku 4.5 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 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: $5.00
Context Window
200k tokens
Model 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: $6.00
Context WindowLarger
1.05M tokens

Frequently 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%.