head-to-head

Google: Gemini 3.7 Flash vs OpenAI: GPT-5.6 Luna Pro

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-28.

Google: Gemini 3.7 Flash OpenAI: GPT-5.6 Luna Pro
Vendorgoogleopenai
Quality Score100100
Benchmark Score65.5-
Input Price$0.75/M$0.20/M
Output Price$3.75/M$1.20/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, GPT-5.6 Luna Pro costs $0.50 and Gemini 3.7 Flash costs $1.69, so GPT-5.6 Luna Pro is about 3.4 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 offers audio input and video input.

Across the 20 tasks where they differ, Gemini 3.7 Flash scores higher on 18 (SQL Generation, Code Review, Code Completion and others), GPT-5.6 Luna Pro on 2 (JSON Extraction, Bulk Data Labeling).

Gemini 3.7 Flash was released in August 2026 and GPT-5.6 Luna Pro in July 2026.

Pick Gemini 3.7 Flash if you need audio input, video input or the stronger all-round task scores; pick GPT-5.6 Luna Pro 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 3.7 FlashOpenAI: GPT-5.6 Luna Pro
SQL Generation 141 133
Code Review 144 132
Code Completion 132 131
Code Refactoring 146 136
Bug Fixing 148 136
Unit Test Generation 131 124
Code Documentation 136 131
Regex Writing 125 119
CI/CD Pipelines 127 120
Frontend Component Design 129 122
Data Analysis 133 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 137 128
JSON Extraction 131 131
Bulk Data Labeling 128 129
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 147 137
Short-Form Summarization 126 123
Blog Post Writing 129 121

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

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