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 | Perceptron Mk1.5perceptron-mk1.5 | Gemma 4 26B A4Bgemma-4-26b-a4b-it | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|
| Pricing | |||
| Input | $0.15 / 1M | $0.13 / 1M | — Not priced per input token |
| Output | $1.50 / 1M | $0.40 / 1M | — Not priced per output token |
| Cache Write (5m) | $0.15 / 1M | $0.13 / 1M | Not applicable |
| Cache Write (1h) | $0.15 / 1M | $0.13 / 1M | Not applicable |
| Cache Read | $0.15 / 1M | $0.13 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 36.9K | 262.1K | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | No | Yes | No |
| Function Calling | No | Yes | No |
| JSON Mode | No | Yes | No |
| Streaming | Yes | Yes | No |
| Catalogue | |||
| Provider | Perceptron | Fish Audio | |
| Category | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-25 | — | 2026-09-24 |
| Description | |||
| Summary | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | 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. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |