Voxtral Mini Transcribe 2
| Provider | Price | Provider model ID | Status | Media deployment details | Source |
|---|---|---|---|---|---|
Standard Tariff not listedUsage $0.003USD / minute Mistral AI · StandardUsage: $0.003 Cache Read: $0.0003 Standard published rates. Region and priority/batch pricing can differ. Checked 2026-10-03T13:45:18.890Z Price source ↗ | voxtral-mini-2602 | Catalog-listedConditionsCatalog-listed; account access and regional availability may apply. | Not supplied | Official source ↗2026-09-28 |
Voxtral Mini Transcribe 2 accepts audio and produces text. Deployment limits and API options depend on the selected provider.
Specifications
- Catalog model ID
- mistralai/voxtral-mini-2602
- Developer model ID / revision
- voxtral-mini-2602Developer documentation ↗
- Input modalities
- audioDeveloper documentation ↗
- Output modalities
- textDeveloper documentation ↗
- Weight access
- Not verified in cited sources
- Weight license / access terms
- Not verified in cited sources
- Total parameters (billions)
- Not verified in cited sources
- Download size (GB)
- Depends on checkpoint and precision; no verified file size
- Release date
- 2026-02-04Developer documentation ↗
- Notes
- Specifications refer to the linked model documentation. Provider limits may differ. Unknown values are not inferred from the model name or listing date.
Catalog entries link to their specification and availability sources. This is a curated selection, not every model each provider offers. Best prices are the lowest collected USD tariffs, not a total-cost estimate. Token offers are selected by input price, with output from the same tariff; workload mix may change the cheapest provider. Listed variants may require batch processing, off-peak hours, or specific media settings. Price coverage varies by provider; collected tariffs include their source and observation time. Benchmark scores are a dated snapshot, not a live feed or a universal measure of quality. They apply to the shown evaluation configuration; listed prices may use different settings. Models without verified scores are not assumed to be weaker.