head-to-head

OpenAI: GPT-5.4 Mini vs Google: Gemini 3.1 Flash Lite Preview

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

OpenAI: GPT-5.4 Mini Google: Gemini 3.1 Flash Lite Preview
Vendoropenaigoogle
Quality Score100100
Benchmark Score70.8-
Input Price$0.75/M$0.25/M
Output Price$4.50/M$1.50/M
Context Window400,0001,048,576
Max Output128,00065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index66.0-
ai_index_agentic49.8-
ai_index_coding92.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.1 Flash Lite Preview costs $0.62 and GPT-5.4 Mini costs $1.88, so Gemini 3.1 Flash Lite Preview is about 3.0 times cheaper for the same work.

Gemini 3.1 Flash Lite Preview reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 600 pages for GPT-5.4 Mini.

Only Gemini 3.1 Flash Lite Preview offers audio input and video input.

Across the 20 tasks where they differ, GPT-5.4 Mini scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-5.4 Mini if you need the stronger all-round task scores; pick Gemini 3.1 Flash Lite Preview if you need lower cost, long documents, audio input or video input.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskOpenAI: GPT-5.4 MiniGoogle: Gemini 3.1 Flash Lite Preview
SQL Generation 164 133
Code Review 159 132
Code Completion 132 131
Code Refactoring 158 136
Bug Fixing 170 136
Unit Test Generation 148 124
Code Documentation 140 131
Regex Writing 132 119
CI/CD Pipelines 139 120
Frontend Component Design 141 122
Data Analysis 160 124
CSV / Spreadsheet Cleanup 151 133
ETL Scripting 149 128
JSON Extraction 146 131
Bulk Data Labeling 133 129
OCR / Document Parsing 144 131
Table Extraction from PDFs 144 131
Long-Document Summarization 154 137
Short-Form Summarization 129 123
Blog Post Writing 136 121

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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