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
- Hy4 previewTencentRemove
- Qwen3.8 27BAlibabaRemove
- Transcribe 1 ProFish AudioRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Wondermuse-wonder | Hy4 previewhy4-preview | Qwen3.8 27Bqwen3.8-27b | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $4.00 / 1M | $0.834 / 1M | $0.45 / 1M | — Not priced per input token |
| Output | $20.00 / 1M | $2.50 / 1M | $3.20 / 1M | — Not priced per output token |
| Cache Write (5m) | $4.00 / 1M | $0.834 / 1M | $0.45 / 1M | Not applicable |
| Cache Write (1h) | $4.00 / 1M | $0.834 / 1M | $0.45 / 1M | Not applicable |
| Cache Read | $4.00 / 1M | $0.834 / 1M | $0.45 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 262K | N/A |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | No |
| Function Calling | Yes | Yes | Yes | No |
| JSON Mode | Yes | Yes | Yes | No |
| Streaming | Yes | Yes | Yes | No |
| Catalogue | ||||
| Provider | Meta | Tencent | Alibaba | Fish Audio |
| Category | chat | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | 2026-09-24 |
| 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. | 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. | Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |