head-to-head

Google: Gemini 4 Argon vs OpenAI: GPT-6.1 Sol

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 $4.50 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 offers audio input and video input.

On our blended benchmark score Gemini 4 Argon leads 90.2 to 88.8.

Across the 14 tasks where they differ, Gemini 4 Argon scores higher on 14 (SQL Generation, Code Review, Code Refactoring and others).

Gemini 4 Argon was released in October 2026 and GPT-6.1 Sol in September 2026.

Pick Gemini 4 Argon if you need audio input, video input, benchmark performance 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	OpenAI: GPT-6.1 Sol
SQL Generation	143	143
Code Review	148	148
Code Refactoring	149	149
Bug Fixing	152	152
Unit Test Generation	134	134
Code Documentation	137	137
Regex Writing	126	126
CI/CD Pipelines	130	130
Frontend Component Design	132	132
Data Analysis	137	136
CSV / Spreadsheet Cleanup	136	136
ETL Scripting	140	140
Long-Document Summarization	150	150
Blog Post Writing	131	131

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