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 Astragpt-6-astra | Gemini 4 Argongemini-4-argon | mai-ds-r1:freeNot in the catalogue |
|---|---|---|---|
| Pricing | |||
| Input | $10.00 / 1M | $2.00 / 1M | — |
| Output | $50.00 / 1M | $10.00 / 1M | — |
| Cache Write (5m) | $10.00 / 1M | $2.00 / 1M | — |
| Cache Write (1h) | $10.00 / 1M | $2.00 / 1M | — |
| Cache Read | $10.00 / 1M | $2.00 / 1M | — |
| Web Search | $0 / 1M | $0 / 1M | — |
| Context | |||
| Max context | 1M | 1M | — |
| Max output | N/A | N/A | — |
| Capabilities | |||
| Vision | Yes | Yes | — |
| Function Calling | Yes | Yes | — |
| JSON Mode | Yes | Yes | — |
| Streaming | Yes | Yes | — |
| Catalogue | |||
| Provider | OpenAI | — | |
| Category | chat | chat | — |
| Charge type | Pay As You Go | Pay As You Go | — |
| Released | — | — | — |
| 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. | Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. | — |