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.
- Transcribe 1 ProFish AudioRemove
- Muse WonderMetaRemove
- Hy4 previewTencentRemove
- GPT-5.6 Sol ProOpenAIRemove
4 is the maximum. Remove one to add another.
| Attribute | Transcribe 1 Protranscribe-1-pro | Muse Wondermuse-wonder | Hy4 previewhy4-preview | GPT-5.6 Sol Progpt-5.6-sol-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | $4.00 / 1M | $0.834 / 1M | $5.00 / 1M |
| Output | — Not priced per output token | $20.00 / 1M | $2.50 / 1M | $30.00 / 1M |
| Cache Write (5m) | Not applicable | $4.00 / 1M | $0.834 / 1M | $5.00 / 1M |
| Cache Write (1h) | Not applicable | $4.00 / 1M | $0.834 / 1M | $5.00 / 1M |
| Cache Read | Not applicable | $4.00 / 1M | $0.834 / 1M | $5.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | No | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Fish Audio | Meta | Tencent | OpenAI |
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-24 | — | — | — |
| Description | ||||
| Summary | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. | 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. | GPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost. |