AnthropicClaude Opus 4.8VSOpenAIGPT-5.6 Sol

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

Our Take

Both models perform almost identically, with an average score gap of just 2.8%. We recommend choosing Claude Opus 4.8 as it is the more cost-effective option (being 1.1x cheaper) without sacrificing any real-world capability.

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Model Specs

Claude Opus 4.8

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.6%)

69.2%

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

Reasoning (gpqa-diamond)

93.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.1x cheaper

$10.00Input: $5.00 | Output: $25.00

Context Window

1.05M tokens

Model Specs

GPT-5.6 Sol

Website

Benchmarks & Scores

Coding (swe-bench-pro)

64.6%

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

Reasoning (gpqa-diamond)Winner (+1.0%)

94.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$11.25Input: $5.00 | Output: $30.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Claude Opus 4.8 vs GPT-5.6 Sol

Claude Opus 4.8 is cheaper than GPT-5.6 Sol. Claude Opus 4.8 has a blended cost of $10.00/1M tokens, which is about 1.1x cheaper than GPT-5.6 Sol at $11.25/1M tokens.

Claude Opus 4.8 is better for coding tasks on this benchmark. It scores 69.2% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.6 Sol which scores 64.6%.

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