whichLlmmodel
Back to Dashboard

GoogleGemini 3.6 FlashVSOpenAIGPT-5.4 mini

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

Our Take

If your budget allows, Gemini 3.6 Flash is the superior choice here, offering a clear benchmark advantage while carrying only a moderate price premium (1.8x). We recommend choosing GPT-5.4 mini only if you need to optimize costs for very high-volume pipelines.
Was this recommendation helpful?
Model Specs

Gemini 3.6 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.3%)
58.7%

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

Reasoning (gpqa-diamond)Winner (+5.5%)
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 mini

Benchmarks & Scores

Coding (swe-bench-pro)
54.4%

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

Reasoning (gpqa-diamond)
87.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.8x cheaper
$1.69Input: $0.75 | Output: $4.50
Context Window
400k tokens

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

GPT-5.4 mini is cheaper than Gemini 3.6 Flash. GPT-5.4 mini has a blended cost of $1.69/1M tokens, which is about 1.8x 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 mini which scores 54.4%.

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder