head-to-head
OpenAI: GPT-6.1 Terra Pro vs Google: Gemini 4 Argon (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-02.
| OpenAI: GPT-6.1 Terra Pro | Google: Gemini 4 Argon (batch) | |
|---|---|---|
| Vendor | openai | |
| Quality Score | 100 | 100 |
| Input Price | $1.00/M | $1.00/M |
| Output Price | $5.00/M | $5.00/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 128,000 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, both cost $2.25 at current list prices.
Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.
Only Gemini 4 Argon (batch) offers audio input and video input.
Pick Gemini 4 Argon (batch) if you need 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.
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