picksbymodel Get API access →
head-to-head

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

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-14.

Google: Gemini 3.7 Flash (batch) OpenAI: GPT-5.6 Terra Pro
Vendorgoogleopenai
Quality Score100100
Benchmark Score89.7-
Input Price$0.19/M$1.00/M
Output Price$0.94/M$6.00/M
Context Window1,048,5761,050,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index92.4-
ai_index_agentic74.4-
ai_index_coding100.0-

Who wins by task?

TaskGoogle: Gemini 3.7 Flash (batch)OpenAI: GPT-5.6 Terra Pro
SQL Generation 172 133
Code Review 168 132
Code Completion 133 118
Code Refactoring 165 136
Bug Fixing 181 136
Unit Test Generation 155 124
Code Documentation 144 130
Regex Writing 137 118
CI/CD Pipelines 145 120
Frontend Component Design 147 122
Data Analysis 171 124
CSV / Spreadsheet Cleanup 154 133
ETL Scripting 155 128
JSON Extraction 149 122
Bulk Data Labeling 135 119
OCR / Document Parsing 147 131
Table Extraction from PDFs 147 131
Long-Document Summarization 161 137
Short-Form Summarization 132 114
Blog Post Writing 141 121

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

Related comparisons

Google: Gemini 3.7 Flash vs Google: Gemini 3.7 Flash (batch) Google: Gemini 3.7 Flash vs OpenAI: GPT-5.6 Terra Pro Google: Gemini 3.7 Flash (batch) vs ByteDance Seed: Seed 2.1 Turbo Google: Gemini 3.7 Flash (batch) vs ByteDance Seed: Seed-2.0-Code Google: Gemini 3.7 Flash (batch) vs SpaceXAI: Grok 4.6 Google: Gemini 3.7 Flash (batch) vs Sakana: Sakana Namazu Google: Gemini 3.7 Flash (batch) vs Meta: Muse Spark 1.2 Google: Gemini 3.7 Flash (batch) vs Qwen: Qwen3.8 Max