Llama 3.2 11B Vision vs Voxtral Small 24B 2507
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision and Voxtral Small 24B 2507.
Llama 3.2 11B Vision
Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.
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. Input audio...
Technical Specifications
| Specification | Llama 3.2 11B Vision | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 131,072 tokens | 32,000 tokens |
| Agent Suitability | 72/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision
$0.34
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
Llama 3.2 11B Vision
$0.34
Voxtral Small 24B 2507
$0.30
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.2 11B Vision Quirks & Gotchas
- ▸Lightweight vision model for edge/on-device deployments
- ▸Limited tool calling — use Llama 4 for production agentic tasks
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.