Qwen 2.5 72B 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 Qwen 2.5 72B and Voxtral Small 24B 2507.
Qwen 2.5 72B
Qwen 2.5 72B is Alibaba Cloud's flagship open-weight large language model from the Qwen 2.5 generation, delivering GPT-4-class performance across general reasoning, coding, mathematics, and multilingual tasks with strong Chinese-language superiority. It supports a 131,072-token context window and is available under a permissive Apache 2.0 license for both research and commercial use, making it one of the most popular open-weight alternatives to Llama for bilingual applications.
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 | Qwen 2.5 72B | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | Alibaba | Mistral |
| Context Window | 131,072 tokens | 32,000 tokens |
| Agent Suitability | 88/100 | 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 | 2025-09-19 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
Qwen 2.5 72B
$0.40
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
Qwen 2.5 72B
$0.80
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.
Qwen 2.5 72B Quirks & Gotchas
- ▸Strong bilingual (ZH/EN) performance — best open model for Chinese-language tasks
- ▸Self-hostable via vLLM or Ollama with 4-bit quantization
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.