head-to-head

Google: Gemini 3.6 Flash vs OpenAI: GPT-5.6 Sol

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-02.

Google: Gemini 3.6 Flash OpenAI: GPT-5.6 Sol
Vendorgoogleopenai
Quality Score100100
Benchmark Score56.180.2
Input Price$0.75/M$2.00/M
Output Price$3.75/M$10.00/M
Context Window1,048,5761,050,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index56.177.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.6 Flash costs $1.69 and GPT-5.6 Sol costs $4.50, so Gemini 3.6 Flash is about 2.7 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 3.6 Flash offers audio input and video input.

On our blended benchmark score GPT-5.6 Sol leads 80.2 to 56.1.

Across the 20 tasks where they differ, Gemini 3.6 Flash scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-5.6 Sol on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick Gemini 3.6 Flash if you need lower cost, audio input or video input; pick GPT-5.6 Sol if you need 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.

Who wins by task?

TaskGoogle: Gemini 3.6 FlashOpenAI: GPT-5.6 Sol
SQL Generation 140 142
Code Review 142 146
Code Completion 132 119
Code Refactoring 145 148
Bug Fixing 146 150
Unit Test Generation 130 133
Code Documentation 136 136
Regex Writing 124 125
CI/CD Pipelines 126 129
Frontend Component Design 128 131
Data Analysis 132 135
CSV / Spreadsheet Cleanup 135 135
ETL Scripting 135 138
JSON Extraction 131 121
Bulk Data Labeling 128 118
OCR / Document Parsing 133 134
Table Extraction from PDFs 133 134
Long-Document Summarization 146 149
Short-Form Summarization 125 117
Blog Post Writing 128 130

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

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