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 | Gemini 3.6 Flashgemini-3.6-flash | Muse Wondermuse-wonder | Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex |
|---|---|---|---|
| Pricing | |||
| Input | $1.50 / 1M | $4.00 / 1M | — |
| Output | $7.50 / 1M | $20.00 / 1M | — |
| Cache Write (5m) | $1.50 / 1M | $4.00 / 1M | Not applicable |
| Cache Write (1h) | $1.50 / 1M | $4.00 / 1M | Not applicable |
| Cache Read | $1.50 / 1M | $4.00 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | — |
| Request | — | — | $0.067 / request |
| Billing | — | — | Pay Per Request |
| Context | |||
| Max context | 1M | 1M | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | Yes |
| Function Calling | Yes | Yes | No |
| JSON Mode | Yes | Yes | No |
| Streaming | Yes | Yes | No |
| Catalogue | |||
| Provider | Meta | ||
| Category | chat | chat | image |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request |
| Released | — | — | — |
| Description | |||
| Summary | Gemini 3.6 Flash is Google's high-efficiency model for coding, agentic workflows, and web and application development. It is optimized to produce polished, production-ready outputs with fewer unnecessary revisions, less hedging, and more direct task execution. By reducing both token usage and the number of model calls required to complete complex tasks, Gemini 3.6 Flash is well suited for high-throughput development, scalable agent systems, and cost-sensitive production workflows. | Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision. | 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. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048. |