head-to-head

Google: Gemini 3.7 Flash (batch) vs OpenAI: GPT-5.6 Sol Pro

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

Google: Gemini 3.7 Flash (batch) OpenAI: GPT-5.6 Sol Pro
Vendorgoogleopenai
Quality Score10098
Benchmark Score65.5-
Input Price$0.38/M$4.00/M
Output Price$1.88/M$20.00/M
Context Window1,048,5761,050,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index64.4-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.7 Flash (batch) costs $0.84 and GPT-5.6 Sol Pro costs $9.00, so Gemini 3.7 Flash (batch) is about 10.7 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 3.7 Flash (batch) offers audio input and video input.

Across the 20 tasks where they differ, Gemini 3.7 Flash (batch) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Gemini 3.7 Flash (batch) was released in August 2026 and GPT-5.6 Sol Pro in July 2026.

Pick Gemini 3.7 Flash (batch) if you need lower cost, 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.

Who wins by task?

TaskGoogle: Gemini 3.7 Flash (batch)OpenAI: GPT-5.6 Sol Pro
SQL Generation 141 129
Code Review 144 130
Code Completion 132 113
Code Refactoring 146 134
Bug Fixing 148 134
Unit Test Generation 131 122
Code Documentation 137 125
Regex Writing 126 113
CI/CD Pipelines 127 118
Frontend Component Design 129 120
Data Analysis 133 122
CSV / Spreadsheet Cleanup 136 129
ETL Scripting 137 126
JSON Extraction 131 117
Bulk Data Labeling 129 112
OCR / Document Parsing 134 129
Table Extraction from PDFs 134 129
Long-Document Summarization 148 133
Short-Form Summarization 126 109
Blog Post Writing 129 117

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

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