Google: Gemini 3.7 Flash (batch) vs OpenAI: GPT-5.6 Luna Pro (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-28.
| Google: Gemini 3.7 Flash (batch) | OpenAI: GPT-5.6 Luna Pro (batch) | |
|---|---|---|
| Vendor | openai | |
| Quality Score | 100 | 100 |
| Benchmark Score | 65.5 | - |
| Input Price | $0.38/M | $0.10/M |
| Output Price | $1.88/M | $0.60/M |
| Context Window | 1,048,576 | 1,050,000 |
| Max Output | 65,536 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 64.4 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna Pro (batch) costs $0.25 and Gemini 3.7 Flash (batch) costs $0.84, so GPT-5.6 Luna Pro (batch) 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 (batch) offers audio input and video input.
Across the 20 tasks where they differ, Gemini 3.7 Flash (batch) scores higher on 18 (SQL Generation, Code Review, Code Completion and others), GPT-5.6 Luna Pro (batch) on 2 (JSON Extraction, Bulk Data Labeling).
Gemini 3.7 Flash (batch) was released in August 2026 and GPT-5.6 Luna Pro (batch) in July 2026.
Pick Gemini 3.7 Flash (batch) if you need audio input, video input or the stronger all-round task scores; pick GPT-5.6 Luna Pro (batch) 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?
| Task | Google: Gemini 3.7 Flash (batch) | OpenAI: GPT-5.6 Luna Pro (batch) |
|---|---|---|
| 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 | 137 | 131 |
| Regex Writing | 126 | 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 | 129 | 129 |
| OCR / Document Parsing | 134 | 131 |
| Table Extraction from PDFs | 134 | 131 |
| Long-Document Summarization | 148 | 137 |
| Short-Form Summarization | 126 | 123 |
| Blog Post Writing | 129 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →