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.
- GPT-6 Luna ProOpenAIRemove
- Muse WonderMetaRemove
- Hy4 previewTencentRemove
- mai-ds-r1:freeNot in the catalogueRemove
4 is the maximum. Remove one to add another.
| Attribute | GPT-6 Luna Progpt-6-luna-pro | Muse Wondermuse-wonder | Hy4 previewhy4-preview | mai-ds-r1:freeNot in the catalogue |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.10 / 1M | $4.00 / 1M | $0.834 / 1M | — |
| Output | $0.50 / 1M | $20.00 / 1M | $2.50 / 1M | — |
| Cache Write (5m) | $0.10 / 1M | $4.00 / 1M | $0.834 / 1M | — |
| Cache Write (1h) | $0.10 / 1M | $4.00 / 1M | $0.834 / 1M | — |
| Cache Read | $0.10 / 1M | $4.00 / 1M | $0.834 / 1M | — |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | — |
| Context | ||||
| Max context | 1.1M | 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 | OpenAI | Meta | Tencent | — |
| Category | chat | chat | chat | — |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | — |
| Released | — | — | — | — |
| Description | ||||
| Summary | GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier. | 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. | 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. | — |