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 | Gemma 4 31Bgemma-4-31b-it | Transcribe 1 Protranscribe-1-pro |
|---|---|---|
| Pricing | ||
| Input | $0.14 / 1M | — Not priced per input token |
| Output | $0.40 / 1M | — Not priced per output token |
| Cache Write (5m) | $0.14 / 1M | Not applicable |
| Cache Write (1h) | $0.14 / 1M | Not applicable |
| Cache Read | $0.14 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 262.1K | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | Fish Audio | |
| Category | chat | voice |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | 2026-09-24 |
| Description | ||
| Summary | Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |