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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
- Muse Spark OpenMetaRemove
- Gemini 3 Pro Image (Google AI Studio)GoogleEnterprise & partner accessRemove
| Attribute | Muse Spark Openmuse-spark-open | Gemini 3 Pro Image (Google AI Studio)gemini-3-pro-image-aistudio |
|---|---|---|
| Pricing | ||
| Input | $1.25 / 1M | — |
| Output | $4.25 / 1M | — |
| Cache Write (5m) | $1.25 / 1M | Not applicable |
| Cache Write (1h) | $1.25 / 1M | Not applicable |
| Cache Read | $1.25 / 1M | Not applicable |
| Web Search | $0 / 1M | — |
| Request | — | $0.134 / request |
| Billing | — | Pay Per Request |
| Context | ||
| Max context | 1M | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | Meta | |
| Category | chat | image |
| Charge type | Pay As You Go | Pay Per Request |
| Released | — | — |
| Description | ||
| Summary | Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential. | Gemini 3 Pro Image served from Google AI Studio. Billed per image at US$0.134. 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. |