head-to-head

Google: Gemini 4 Argon vs OpenAI: GPT-6 Luna Pro

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

Google: Gemini 4 Argon OpenAI: GPT-6 Luna Pro
Vendorgoogleopenai
Quality Score100100
Benchmark Score90.2-
Input Price$2.00/M$0.10/M
Output Price$10.00/M$0.50/M
Context Window1,048,5761,050,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index86.7-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna Pro costs $0.23 and Gemini 4 Argon costs $4.50, so GPT-6 Luna Pro is about 20.0 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Only Gemini 4 Argon offers audio input and video input.

Across the 20 tasks where they differ, Gemini 4 Argon scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), GPT-6 Luna Pro on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Gemini 4 Argon was released in October 2026 and GPT-6 Luna Pro in September 2026.

Pick Gemini 4 Argon if you need audio input, video input or the stronger all-round task scores; pick GPT-6 Luna Pro if you need lower cost.

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 4 ArgonOpenAI: GPT-6 Luna Pro
SQL Generation 143 133
Code Review 148 132
Code Completion 119 131
Code Refactoring 149 136
Bug Fixing 152 136
Unit Test Generation 134 124
Code Documentation 137 131
Regex Writing 126 119
CI/CD Pipelines 130 120
Frontend Component Design 132 122
Data Analysis 137 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 140 128
JSON Extraction 121 131
Bulk Data Labeling 118 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 150 137
Short-Form Summarization 117 123
Blog Post Writing 131 121

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

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