Google: Gemini 3.7 Flash (batch) vs OpenAI: GPT-5.6 Terra
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.
| Google: Gemini 3.7 Flash (batch) | OpenAI: GPT-5.6 Terra | |
|---|---|---|
| Vendor | openai | |
| Quality Score | 100 | 100 |
| Input Price | $0.38/M | $2.00/M |
| Output Price | $1.88/M | $12.00/M |
| Context Window | 1,048,576 | 1,050,000 |
| Max Output | 65,536 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
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 Terra costs $5.00, so Gemini 3.7 Flash (batch) is about 5.9 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 10 tasks where they differ, Gemini 3.7 Flash (batch) scores higher on 10 (SQL Generation, Code Completion, Code Documentation and others).
Gemini 3.7 Flash (batch) was released in August 2026 and GPT-5.6 Terra 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?
| Task | Google: Gemini 3.7 Flash (batch) | OpenAI: GPT-5.6 Terra |
|---|---|---|
| SQL Generation | 133 | 132 |
| Code Completion | 131 | 117 |
| Code Documentation | 131 | 129 |
| Regex Writing | 119 | 117 |
| CSV / Spreadsheet Cleanup | 133 | 132 |
| JSON Extraction | 131 | 121 |
| Bulk Data Labeling | 129 | 117 |
| Long-Document Summarization | 137 | 136 |
| Short-Form Summarization | 123 | 113 |
| Blog Post Writing | 121 | 120 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →