OpenAIGPT-5.4 nanoVSOpenAIGPT-5.6 Sol

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

Our Take

This matchup represents a clear tradeoff between peak intelligence and budget efficiency. GPT-5.6 Sol is noticeably superior (holding a 12.0% average lead in benchmarks), but it carries a massive 24.3x price premium. Choose GPT-5.6 Sol if you need top-tier reasoning or code debugging, but for high-volume pipelines, GPT-5.4 nano is the smarter business decision.

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Model Specs

GPT-5.4 nano

Website

Benchmarks & Scores

Coding (swe-bench-pro)

52.4%

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

Reasoning (gpqa-diamond)

82.8%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)24.3x cheaper

$0.46Input: $0.20 | Output: $1.25

Context Window

400k tokens

Model Specs

GPT-5.6 Sol

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+12.2%)

64.6%

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

Reasoning (gpqa-diamond)Winner (+11.8%)

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 GPT-5.4 nano vs GPT-5.6 Sol

GPT-5.4 nano is cheaper than GPT-5.6 Sol. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 24.3x cheaper than GPT-5.6 Sol at $11.25/1M tokens.

GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.4 nano which scores 52.4%.

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