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.
- Muse WonderMetaRemove
- GLM 5.3Z.AIRemove
- Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
- Hy4 previewTencentRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Wondermuse-wonder | GLM 5.3glm-5.3 | Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex | Hy4 previewhy4-preview |
|---|---|---|---|---|
| Pricing | ||||
| Input | $4.00 / 1M | $1.40 / 1M | — | $0.834 / 1M |
| Output | $20.00 / 1M | $4.40 / 1M | — | $2.50 / 1M |
| Cache Write (5m) | $4.00 / 1M | $1.40 / 1M | Not applicable | $0.834 / 1M |
| Cache Write (1h) | $4.00 / 1M | $1.40 / 1M | Not applicable | $0.834 / 1M |
| Cache Read | $4.00 / 1M | $1.40 / 1M | Not applicable | $0.834 / 1M |
| Web Search | $0 / 1M | $0 / 1M | — | $0 / 1M |
| Request | — | — | $0.067 / request | — |
| Billing | — | — | Pay Per Request | — |
| Context | ||||
| Max context | 1M | 1M | N/A | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | Yes | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Meta | Z.AI | Tencent | |
| Category | chat | chat | image | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | 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. | GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution. | 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. | Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows. |