AnthropicClaude Haiku 4.5VSOpenAIGPT-5.6 Luna

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

Our Take

If your budget allows, GPT-5.6 Luna is the superior choice here, offering a clear benchmark advantage while carrying only a slight price premium (1.1x). We recommend choosing Claude Haiku 4.5 only if you need to optimize costs for very high-volume pipelines.

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Model Specs

Claude Haiku 4.5

Website

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 & Context

Cost (per 1M tokens)1.1x cheaper

$2.00Input: $1.00 | Output: $5.00

Context Window

200k tokens

Model Specs

GPT-5.6 Luna

Website

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 & Context

Cost (per 1M tokens)

$2.25Input: $1.00 | Output: $6.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Claude Haiku 4.5 vs GPT-5.6 Luna

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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