head-to-head

Google: Gemini Pro 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 Pro Latest OpenAI: GPT-5.4 Nano
Vendor~googleopenai
Quality Score100100
Benchmark Score-68.1
Input Price$2.00/M$0.20/M
Output Price$10.00/M$1.25/M
Context Window1,048,576400,000
Max Output943,718128,000
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 Pro Latest costs $4.50, so GPT-5.4 Nano is about 8.8 times cheaper for the same work.

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

Pick Gemini Pro 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 Pro LatestOpenAI: GPT-5.4 Nano
SQL Generation 132 163
Code Review 132 158
Code Completion 117 133
Code Refactoring 136 157
Bug Fixing 136 168
Unit Test Generation 124 148
Code Documentation 129 140
Regex Writing 117 132
CI/CD Pipelines 120 139
Frontend Component Design 122 141
Data Analysis 124 159
CSV / Spreadsheet Cleanup 132 151
ETL Scripting 128 148
JSON Extraction 121 146
Bulk Data Labeling 118 134
OCR / Document Parsing 131 144
Table Extraction from PDFs 131 144
Long-Document Summarization 136 154
Short-Form Summarization 113 130
Blog Post Writing 120 135

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

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