OpenAI: GPT-6.1 Terra Pro (batch) vs Mistral: Mistral Large 4
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-02.
| OpenAI: GPT-6.1 Terra Pro (batch) | Mistral: Mistral Large 4 | |
|---|---|---|
| Vendor | openai | mistralai |
| Quality Score | 100 | 100 |
| Input Price | $0.50/M | $0.70/M |
| Output Price | $2.50/M | $2.10/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 128,000 | 262,144 |
| 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-6.1 Terra Pro (batch) costs $1.12 and Mistral Large 4 costs $1.23, so GPT-6.1 Terra Pro (batch) is slightly cheaper for the same work.
Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.
Across the 1 tasks where they differ, Mistral Large 4 on 1 (Bulk Data Labeling).
Pick GPT-6.1 Terra 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 | OpenAI: GPT-6.1 Terra Pro (batch) | Mistral: Mistral Large 4 |
|---|---|---|
| Bulk Data Labeling | 129 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →