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
- Muse Spark OpenMetaRemove
- Transcribe 1 ProFish AudioRemove
- Qwen3.8 2.4T A95BAlibabaRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Wondermuse-wonder | Muse Spark Openmuse-spark-open | Transcribe 1 Protranscribe-1-pro | Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95b |
|---|---|---|---|---|
| Pricing | ||||
| Input | $4.00 / 1M | $1.25 / 1M | — Not priced per input token | $1.80 / 1M |
| Output | $20.00 / 1M | $4.25 / 1M | — Not priced per output token | $5.40 / 1M |
| Cache Write (5m) | $4.00 / 1M | $1.25 / 1M | Not applicable | $1.80 / 1M |
| Cache Write (1h) | $4.00 / 1M | $1.25 / 1M | Not applicable | $1.80 / 1M |
| Cache Read | $4.00 / 1M | $1.25 / 1M | Not applicable | $1.80 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | N/A | 262K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Meta | Meta | Fish Audio | Alibaba |
| Category | chat | chat | voice | 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 | 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. | Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. | Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights. |