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.
4 is the maximum. Remove one to add another.
| Attribute | GPT-6 Astragpt-6-astra | Aura-2aura-2 | Perceptron Mk1.5perceptron-mk1.5 | Grok 4.7grok-4.7 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $10.00 / 1M | $0 / 1M | $0.15 / 1M | $1.60 / 1M |
| Output | $50.00 / 1M | $0 / 1M | $1.50 / 1M | $4.80 / 1M |
| Cache Write (5m) | $10.00 / 1M | Not applicable | $0.15 / 1M | $1.60 / 1M |
| Cache Write (1h) | $10.00 / 1M | Not applicable | $0.15 / 1M | $1.60 / 1M |
| Cache Read | $10.00 / 1M | Not applicable | $0.15 / 1M | $1.60 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | N/A | 36.9K | 500K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | No | Yes |
| Function Calling | Yes | No | No | Yes |
| JSON Mode | Yes | No | No | Yes |
| Streaming | Yes | No | Yes | Yes |
| Catalogue | ||||
| Provider | OpenAI | Deepgram | Perceptron | SpaceXAI |
| Category | chat | voice | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-07-16 | 2026-09-25 | — |
| Description | ||||
| Summary | GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work. | Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort. |