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 Image 2.6 Flaregpt-image-2.6-flare | Gemini 4 Argongemini-4-argon |
|---|---|---|
| Pricing | ||
| Input | $5.00 / 1M | $2.00 / 1M |
| Output | $30.00 / 1M | $10.00 / 1M |
| Cache Write (5m) | Not applicable | $2.00 / 1M |
| Cache Write (1h) | Not applicable | $2.00 / 1M |
| Cache Read | Not applicable | $2.00 / 1M |
| Web Search | — | $0 / 1M |
| Context | ||
| Max context | N/A | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | No | Yes |
| JSON Mode | No | Yes |
| Streaming | No | Yes |
| Catalogue | ||
| Provider | OpenAI | |
| Category | image | chat |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | OpenAI GPT Image 2.6 Flare. Billed by tokens at OpenAI's price: text input US$5, image input US$8 and image output US$30 per 1M tokens. | 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. |