GoogleGemini 3.6 FlashVSOpenAIGPT-5.4 nano

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

Our Take

This matchup represents a clear tradeoff between peak intelligence and budget efficiency. Gemini 3.6 Flash is noticeably superior (holding a 8.3% average lead in benchmarks), but it carries a massive 6.5x price premium. Choose Gemini 3.6 Flash 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

Gemini 3.6 Flash

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+6.3%)

58.7%

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

Reasoning (gpqa-diamond)Winner (+10.2%)

93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$3.00Input: $1.50 | Output: $7.50

Context WindowLarger

1.05M tokens

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)6.5x cheaper

$0.46Input: $0.20 | Output: $1.25

Context Window

400k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.6 Flash vs GPT-5.4 nano

GPT-5.4 nano is cheaper than Gemini 3.6 Flash. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 6.5x cheaper than Gemini 3.6 Flash at $3.00/1M tokens.

Gemini 3.6 Flash is better for coding tasks on this benchmark. It scores 58.7% 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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