head-to-head

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

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

Google: Gemini 4 Argon OpenAI: GPT-6.1 Sol (batch)
Vendorgoogleopenai
Quality Score100100
Benchmark Score90.288.8
Input Price$2.00/M$1.00/M
Output Price$10.00/M$5.00/M
Context Window1,048,5761,050,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index86.785.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6.1 Sol (batch) costs $2.25 and Gemini 4 Argon costs $4.50, so GPT-6.1 Sol (batch) is about 2.0 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.

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

Across the 18 tasks where they differ, Gemini 4 Argon scores higher on 8 (Code Review, Code Refactoring, Bug Fixing and others), GPT-6.1 Sol (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).

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

Pick Gemini 4 Argon if you need audio input, video input or benchmark performance; pick GPT-6.1 Sol (batch) 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-6.1 Sol (batch)
SQL Generation 143 143
Code Review 148 148
Code Completion 119 120
Code Refactoring 149 149
Bug Fixing 152 152
Unit Test Generation 134 134
Code Documentation 137 138
Regex Writing 126 127
CI/CD Pipelines 130 130
Frontend Component Design 132 132
Data Analysis 137 136
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 140 140
JSON Extraction 121 122
Bulk Data Labeling 118 120
Long-Document Summarization 150 151
Short-Form Summarization 117 119
Blog Post Writing 131 131

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

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