Voxtral-Small-24B-2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding.
Params
24.3 B
Context
—
Downloads 30d
18 K
Likes
551
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)18 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 97.0 GB | 110.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.10
input / 1M
$0.30
output / 1M
$0.01
cached input / 1M
$0.40
1M in + 1M out
- Context window
- 32,768 tokens
- Max output
- 26,214 tokens
- Providers
- 1
- Cheapest provider
- Mistral · $0.10 / $0.30
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✓ File input
✓ Audio input
✓ Prompt caching
Specifications
- Architecture
- VoxtralForConditionalGeneration
- Parameters
- 24.3 B
- Tensor type
- BF16
- Vocabulary
- 131,072
- Licence
- apache-2.0
- First seen on the Hub
- 2025-07-01
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any audio-text-to-text model