OpenAI: GPT Mini Latest vs Google: Gemini 3.1 Pro Preview Custom Tools
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT Mini Latest | Google: Gemini 3.1 Pro Preview Custom Tools | |
|---|---|---|
| Vendor | ~openai | |
| Quality Score | 100 | 100 |
| Input Price | $0.75/M | $2.00/M |
| Output Price | $4.50/M | $12.00/M |
| Context Window | 400,000 | 1,048,576 |
| Max Output | 128,000 | 65,536 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT Mini Latest costs $1.88 and Gemini 3.1 Pro Preview Custom Tools costs $5.00, so GPT Mini Latest is about 2.7 times cheaper for the same work.
Gemini 3.1 Pro Preview Custom Tools reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 600 pages for GPT Mini Latest.
Only Gemini 3.1 Pro Preview Custom Tools offers audio input and video input.
Across the 10 tasks where they differ, GPT Mini Latest scores higher on 10 (SQL Generation, Code Completion, Code Documentation and others).
GPT Mini Latest was released in April 2026 and Gemini 3.1 Pro Preview Custom Tools in February 2026.
Pick GPT Mini Latest if you need lower cost or the stronger all-round task scores; pick Gemini 3.1 Pro Preview Custom Tools if you need long documents, audio input or video input.
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 | OpenAI: GPT Mini Latest | Google: Gemini 3.1 Pro Preview Custom Tools |
|---|---|---|
| SQL Generation | 133 | 132 |
| Code Completion | 130 | 117 |
| Code Documentation | 130 | 129 |
| Regex Writing | 119 | 117 |
| CSV / Spreadsheet Cleanup | 133 | 132 |
| JSON Extraction | 130 | 121 |
| Bulk Data Labeling | 128 | 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 →