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 | mai-ds-r1:freeNot in the catalogue | GPT-6.1 Solgpt-6.1-sol | Gemini 4 Argongemini-4-argon |
|---|---|---|---|
| Pricing | |||
| Input | — | $2.00 / 1M | $2.00 / 1M |
| Output | — | $10.00 / 1M | $10.00 / 1M |
| Cache Write (5m) | — | $2.00 / 1M | $2.00 / 1M |
| Cache Write (1h) | — | $2.00 / 1M | $2.00 / 1M |
| Cache Read | — | $2.00 / 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-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical. | 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. |