head-to-head

Google: Gemini 4 Argon (batch) vs OpenAI: GPT-6 Sol Pro (batch)

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

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, both cost $2.25 at current list prices.

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 (batch) offers audio input and video input.

Across the 18 tasks where they differ, Gemini 4 Argon (batch) scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Gemini 4 Argon (batch) was released in October 2026 and GPT-6 Sol Pro (batch) in September 2026.

Pick Gemini 4 Argon (batch) if you need audio input, video input 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.

Task	Google: Gemini 4 Argon (batch)	OpenAI: GPT-6 Sol Pro (batch)
SQL Generation	143	133
Code Review	148	132
Code Completion	120	118
Code Refactoring	149	136
Bug Fixing	152	136
Unit Test Generation	134	124
Code Documentation	138	130
Regex Writing	127	118
CI/CD Pipelines	130	120
Frontend Component Design	132	122
Data Analysis	137	124
CSV / Spreadsheet Cleanup	136	133
ETL Scripting	140	128
OCR / Document Parsing	135	131
Table Extraction from PDFs	135	131
Long-Document Summarization	151	137
Short-Form Summarization	119	114
Blog Post Writing	131	121

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