head-to-head

Google: Gemini Flash Latest vs OpenAI: GPT-5.4 Nano

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

Google: Gemini Flash Latest OpenAI: GPT-5.4 Nano
Vendor~googleopenai
Quality Score100100
Benchmark Score-68.1
Input Price$0.75/M$0.20/M
Output Price$3.75/M$1.25/M
Context Window1,048,576400,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index-63.1
ai_index_agentic-45.4
ai_index_coding-92.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.4 Nano costs $0.51 and Gemini Flash Latest costs $1.69, so GPT-5.4 Nano is about 3.3 times cheaper for the same work.

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

Only Gemini Flash Latest offers audio input and video input.

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

Gemini Flash Latest was released in April 2026 and GPT-5.4 Nano in March 2026.

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

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?

TaskGoogle: Gemini Flash LatestOpenAI: GPT-5.4 Nano
SQL Generation 133 163
Code Review 132 158
Code Completion 131 133
Code Refactoring 136 157
Bug Fixing 136 168
Unit Test Generation 124 148
Code Documentation 131 140
Regex Writing 119 132
CI/CD Pipelines 120 139
Frontend Component Design 122 141
Data Analysis 124 159
CSV / Spreadsheet Cleanup 133 151
ETL Scripting 128 148
JSON Extraction 131 146
Bulk Data Labeling 128 134
OCR / Document Parsing 131 144
Table Extraction from PDFs 131 144
Long-Document Summarization 137 154
Short-Form Summarization 123 130
Blog Post Writing 121 135

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

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