picksbymodel Get API access →
head-to-head

Google: Gemini 3.6 Flash (batch) vs OpenAI: GPT-5.5 (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-07-29.

Google: Gemini 3.6 Flash (batch) OpenAI: GPT-5.5 (batch)
Vendorgoogleopenai
Quality Score100100
Benchmark Score83.992.6
Input Price$0.75/M$2.50/M
Output Price$3.75/M$15.00/M
Context Window1,048,5761,050,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index82.690.5
ai_index_agentic63.974.0
ai_index_coding100.0100.0
eqbench-82.4

Who wins by task?

TaskGoogle: Gemini 3.6 Flash (batch)OpenAI: GPT-5.5 (batch)
SQL Generation 169 176
Code Review 165 177
Code Completion 132 120
Code Refactoring 162 175
Bug Fixing 177 190
Unit Test Generation 153 160
Code Documentation 142 147
Regex Writing 135 137
CI/CD Pipelines 143 150
Frontend Component Design 145 150
Data Analysis 167 175
CSV / Spreadsheet Cleanup 153 158
ETL Scripting 153 163
JSON Extraction 148 137
Bulk Data Labeling 134 122
OCR / Document Parsing 146 149
Table Extraction from PDFs 146 149
Long-Document Summarization 158 169
Short-Form Summarization 131 122
Blog Post Writing 139 145

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

Related comparisons

Qwen: Qwen3.7 Flash vs Google: Gemini 3.6 Flash (batch) Qwen: Qwen3.7 Flash vs OpenAI: GPT-5.5 (batch) Google: Gemini 3.6 Flash vs Google: Gemini 3.6 Flash (batch) Google: Gemini 3.6 Flash vs OpenAI: GPT-5.5 (batch) Google: Gemini 3.6 Flash (batch) vs Google: Gemini 3.5 Flash Lite Google: Gemini 3.6 Flash (batch) vs Google: Gemini 3.5 Flash Lite (batch) Google: Gemini 3.6 Flash (batch) vs Thinking Machines: Inkling Google: Gemini 3.6 Flash (batch) vs Meta: Muse Spark 1.1