Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it …
Model details →meta-llama/Llama-3.2-3B-Instruct vs Mistral: Voxtral Small 24B 2507
meta-llama/Llama-3.2-3B-Instruct and Mistral: Voxtral Small 24B 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
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 …
Model details →Side-by-side comparison
| Capability | meta-llama/Llama-3.2-3B-Instruct | Mistral: Voxtral Small 24B 2507 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 80K | 32K | 🏆 meta-llama/Llama-3.2-3B-Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.10 | 🏆 meta-llama/Llama-3.2-3B-Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.30 | 🏆 Mistral: Voxtral Small 24B 2507 |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Mistral: Voxtral Small 24B 2507 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is meta-llama/Llama-3.2-3B-Instruct better than Mistral: Voxtral Small 24B 2507?
meta-llama/Llama-3.2-3B-Instruct and Mistral: Voxtral Small 24B 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between meta-llama/Llama-3.2-3B-Instruct and Mistral: Voxtral Small 24B 2507?
Input: $0.05 vs $0.10 per 1M tokens. Output: $0.34 vs $0.30 per 1M tokens.
What context windows do meta-llama/Llama-3.2-3B-Instruct and Mistral: Voxtral Small 24B 2507 support?
meta-llama/Llama-3.2-3B-Instruct supports up to 80K tokens. Mistral: Voxtral Small 24B 2507 supports up to 32K tokens.
Do both meta-llama/Llama-3.2-3B-Instruct and Mistral: Voxtral Small 24B 2507 support tool calling?
meta-llama/Llama-3.2-3B-Instruct: not advertised. Mistral: Voxtral Small 24B 2507: yes.