head-to-head

Google: Gemini 4 Argon (batch) vs OpenAI: GPT-6.1 Sol (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.

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

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

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

Pick Gemini 4 Argon (batch) 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 (batch)	OpenAI: GPT-6.1 Sol (batch)
SQL Generation	143	143
Code Review	148	148
Code Refactoring	149	149
Bug Fixing	152	152
Unit Test Generation	134	134
Code Documentation	138	138
Regex Writing	127	127
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	151	151
Blog Post Writing	131	131

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