DeepSeek R1 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 DeepSeek R1 and Voxtral Small 24B 2507.
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
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 | DeepSeek R1 | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context Window | 163,840 tokens | 32,000 tokens |
| Agent Suitability | 78/100 | N/A |
| Time to First Token (TTFT) | 1800 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-01-20 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek R1
$0.70
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
DeepSeek R1
$2.50
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.
DeepSeek R1 Quirks & Gotchas
- ▸Reasoning model — not designed for high-frequency tool calling
- ▸Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.