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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | Transcribe 1 Protranscribe-1-pro | MiMo-V2-Flashmimo-v2-flash |
|---|---|---|
| Pricing | ||
| Input | — Not priced per input token | $0.09 / 1M |
| Output | — Not priced per output token | $0.29 / 1M |
| Cache Write (5m) | Not applicable | $0.09 / 1M |
| Cache Write (1h) | Not applicable | $0.09 / 1M |
| Cache Read | Not applicable | $0.09 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | N/A | 262.1K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | No | Yes |
| Function Calling | No | Yes |
| JSON Mode | No | Yes |
| Streaming | No | Yes |
| Catalogue | ||
| Provider | Fish Audio | Xiaomi |
| Category | voice | chat |
| Charge type | 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. | MiMo-V2-Flash is an open-source Mixture-of-Experts (MoE) foundation model developed by Xiaomi, featuring 309B total parameters with 15B activated per token and a hybrid attention architecture. It supports a 256K context window and a hybrid thinking mode toggle, enabling flexible trade-offs between speed and reasoning depth. The model excels in reasoning, coding, and agentic workflows, ranking #1 globally among open-source models on benchmarks such as SWE-bench Verified and SWE-bench Multilingual. With performance comparable to leading proprietary models like Claude Sonnet 4.5 at a fraction of the cost, MiMo-V2-Flash is well suited for efficient, high-performance deployments. |