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 | Whisper 1whisper-1 |
|---|---|---|
| Pricing | ||
| Input | $1.00 / 1M | $75.00 / 1M |
| Output | $5.00 / 1M | $75.00 / 1M |
| Cache Write (5m) | $1.00 / 1M | Not applicable |
| Cache Write (1h) | $1.00 / 1M | Not applicable |
| Cache Read | $1.00 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 1M | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | Yes |
| Streaming | No | No |
| Catalogue | ||
| Provider | OpenAI | OpenAI |
| Category | chat | voice |
| 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. | Whisper (whisper-1) is OpenAI's open-source automatic speech recognition (ASR) model, designed for audio transcription and translation. It supports 50+ languages and processes audio files up to 25 MB, accepting formats such as mp3, mp4, wav, and webm. Optimized for reliable speech-to-text conversion across diverse audio inputs, Whisper is priced per minute of audio, billed to the nearest second, making it well suited for transcription, localization, and voice-driven applications. |