Llama 3.3 70B Instruct 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 3.3 70B Instruct and Voxtral Small 24B 2507.
Llama 3.3 70B Instruct
Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.
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 3.3 70B Instruct | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 131,072 tokens | 32,000 tokens |
| Agent Suitability | 83/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.10
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.32
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 3.3 70B Instruct Quirks & Gotchas
- ▸Stable, well-documented self-hosted option with strong community support
- ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.