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GoogleGemini 3.5 Flash LiteVSOpenAIGPT-5.4 mini

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

Our Take

Both models perform almost identically, with an average score gap of just 1.8%. We recommend choosing Gemini 3.5 Flash Lite as it is the more cost-effective option (being 2.0x cheaper) without sacrificing any real-world capability.
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Model Specs

Gemini 3.5 Flash Lite

Benchmarks & Scores

Coding (swe-bench-pro)
54.2%

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

Reasoning (gpqa-diamond)
84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.0x cheaper
$0.85Input: $0.30 | Output: $2.50
Context WindowLarger
1.05M tokens
Model Specs

GPT-5.4 mini

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+0.2%)
54.4%

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

Reasoning (gpqa-diamond)Winner (+3.5%)
87.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.69Input: $0.75 | Output: $4.50
Context Window
400k tokens

Frequently Asked Questions about Gemini 3.5 Flash Lite vs GPT-5.4 mini

Gemini 3.5 Flash Lite is cheaper than GPT-5.4 mini. Gemini 3.5 Flash Lite has a blended cost of $0.85/1M tokens, which is about 2.0x cheaper than GPT-5.4 mini at $1.69/1M tokens.

GPT-5.4 mini is better for coding tasks on this benchmark. It scores 54.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.5 Flash Lite which scores 54.2%.

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