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 | Voxtral Small 24B 2507voxtral-small-24b-2507 | Gemini 4 Argongemini-4-argon |
|---|---|---|
| Pricing | ||
| Input | $0.125 / 1M | $2.00 / 1M |
| Output | $0.375 / 1M | $10.00 / 1M |
| Cache Write (5m) | Not applicable | $2.00 / 1M |
| Cache Write (1h) | Not applicable | $2.00 / 1M |
| Cache Read | Not applicable | $2.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 32K | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | No | Yes |
| Function Calling | No | Yes |
| JSON Mode | No | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Mistral AI | |
| Category | voice | chat |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | Voxtral Small is an upgraded version of Mistral Small 3 that adds advanced audio understanding while preserving strong text performance. It handles speech transcription, translation, and audio comprehension, with audio input billed per million seconds. | Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. |