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.
| Attribute | Transcribe 1 Protranscribe-1-pro | Gemma 4 26B A4Bgemma-4-26b-a4b-it |
|---|---|---|
| Pricing | ||
| Input | — Not priced per input token | $0.13 / 1M |
| Output | — Not priced per output token | $0.40 / 1M |
| Cache Write (5m) | Not applicable | $0.13 / 1M |
| Cache Write (1h) | Not applicable | $0.13 / 1M |
| Cache Read | Not applicable | $0.13 / 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 | |
| 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. | Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications. |