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 | Gemini 4 Argongemini-4-argon |
|---|---|---|
| Pricing | ||
| Input | — | $2.00 / 1M |
| Output | — | $10.00 / 1M |
| Cache Write (5m) | — | $2.00 / 1M |
| Cache Write (1h) | — | $2.00 / 1M |
| Cache Read | — | $2.00 / 1M |
| Web Search | — | $0 / 1M |
| Context | ||
| Max context | — | 1M |
| Max output | — | N/A |
| Capabilities | ||
| Vision | — | Yes |
| Function Calling | — | Yes |
| JSON Mode | — | Yes |
| Streaming | — | Yes |
| Catalogue | ||
| Provider | — | |
| Category | — | chat |
| Charge type | — | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | — | 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. |