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
- Transcribe 1 ProFish AudioRemove
- Hy4 previewTencentRemove
- Muse Spark OpenMetaRemove
4 is the maximum. Remove one to add another.
| Attribute | mai-ds-r1:freeNot in the catalogue | Transcribe 1 Protranscribe-1-pro | Hy4 previewhy4-preview | Muse Spark Openmuse-spark-open |
|---|---|---|---|---|
| Pricing | ||||
| Input | — | — Not priced per input token | $0.834 / 1M | $1.25 / 1M |
| Output | — | — Not priced per output token | $2.50 / 1M | $4.25 / 1M |
| Cache Write (5m) | — | Not applicable | $0.834 / 1M | $1.25 / 1M |
| Cache Write (1h) | — | Not applicable | $0.834 / 1M | $1.25 / 1M |
| Cache Read | — | Not applicable | $0.834 / 1M | $1.25 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | — | N/A | 1M | 1M |
| Max output | — | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | — | No | Yes | Yes |
| Function Calling | — | No | Yes | Yes |
| JSON Mode | — | No | Yes | Yes |
| Streaming | — | No | Yes | Yes |
| Catalogue | ||||
| Provider | — | Fish Audio | Tencent | Meta |
| Category | — | voice | chat | chat |
| Charge type | — | 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. | 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. | 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. |