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.
- mai-ds-r1:freeNot in the catalogueRemove
- Muse WonderMetaRemove
- GPT-6 LunaOpenAIRemove
- Hy4 previewTencentRemove
4 is the maximum. Remove one to add another.
| Attribute | mai-ds-r1:freeNot in the catalogue | Muse Wondermuse-wonder | GPT-6 Lunagpt-6-luna | Hy4 previewhy4-preview |
|---|---|---|---|---|
| Pricing | ||||
| Input | — | $4.00 / 1M | $0.10 / 1M | $0.834 / 1M |
| Output | — | $20.00 / 1M | $0.50 / 1M | $2.50 / 1M |
| Cache Write (5m) | — | $4.00 / 1M | $0.10 / 1M | $0.834 / 1M |
| Cache Write (1h) | — | $4.00 / 1M | $0.10 / 1M | $0.834 / 1M |
| Cache Read | — | $4.00 / 1M | $0.10 / 1M | $0.834 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | — | 1M | 1.1M | 1M |
| Max output | — | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | — | Yes | Yes | Yes |
| Function Calling | — | Yes | Yes | Yes |
| JSON Mode | — | Yes | Yes | Yes |
| Streaming | — | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | — | Meta | OpenAI | Tencent |
| Category | — | chat | chat | chat |
| Charge type | — | Pay As You Go | Pay As You Go | 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. | GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability. | 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. |