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.
- Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
- Gemini 4 ArgonGoogleRemove
- Nemotron 3.5 Super VL (Free)
- Nemotron 3.5 Super VL
- Muse Spark Open
- Muse Wonder
- Gemini 3.1 Flash Lite Image (Google Vertex AI)
- Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
- Gemini 3.1 Flash Image (Google AI Studio)Enterprise & partner access
- Gemini 3 Pro Image (Google Vertex AI)Enterprise & partner access
| Attribute | Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex | Gemini 4 Argongemini-4-argon |
|---|---|---|
| Pricing | ||
| Request | $0.067 / request | — |
| Billing | Pay Per Request | — |
| Cache Write (5m) | Not applicable | $2.00 / 1M |
| Cache Write (1h) | Not applicable | $2.00 / 1M |
| Cache Read | Not applicable | $2.00 / 1M |
| Input | — | $2.00 / 1M |
| Output | — | $10.00 / 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 | ||
| Category | image | chat |
| Charge type | Pay Per Request | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. | 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. |