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 31B (Free)gemma-4-31b-it:free | Universal-3.5 Prouniversal-3-5-pro | Perceptron Mk1.5perceptron-mk1.5 |
|---|---|---|---|
| Pricing | |||
| Input | $0 / 1M | — Not priced per input token | $0.15 / 1M |
| Output | $0 / 1M | — Not priced per output token | $1.50 / 1M |
| Cache Write | $0 / 1M | — | — |
| Cache Read | $0 / 1M | Not applicable | $0.15 / 1M |
| Cache Write (5m) | — | Not applicable | $0.15 / 1M |
| Cache Write (1h) | — | Not applicable | $0.15 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 262.1K | N/A | 36.9K |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | No | No |
| Function Calling | Yes | No | No |
| JSON Mode | Yes | No | No |
| Streaming | Yes | No | Yes |
| Catalogue | |||
| Provider | AssemblyAI | Perceptron | |
| Category | chat | voice | chat |
| Charge type | Free | Pay As You Go | Pay As You Go |
| Released | — | 2026-09-22 | 2026-09-25 |
| 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. | AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. |