Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | GPT-6.1 Terragpt-6.1-terra | Mistral Embed 2312mistral-embed-2312 |
|---|---|---|
| Pricing | ||
| Input | $1.00 / 1M | $0.125 / 1M |
| Output | $5.00 / 1M | — Not priced per output token |
| Cache Write (5m) | $1.00 / 1M | $0.125 / 1M |
| Cache Write (1h) | $1.00 / 1M | $0.125 / 1M |
| Cache Read | $1.00 / 1M | $0.125 / 1M |
| Web Search | $0 / 1M | — |
| Context | ||
| Max context | 1M | 8.2K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | No | No |
| Catalogue | ||
| Provider | OpenAI | Mistral AI |
| Category | chat | embedding |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost. | Mistral Embed is Mistral AI's text embedding model, built for semantic search and RAG workflows. It generates 1024-dimensional vectors that capture meaningful relationships between pieces of text. |