Qwen3.5-9B 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 Qwen3.5-9B and Voxtral Small 24B 2507.
Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
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 | Qwen3.5-9B | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | Alibaba | Mistral |
| Context Window | 262,144 tokens | 32,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-03-10 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3.5-9B
$0.10
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
Qwen3.5-9B
$0.15
Voxtral Small 24B 2507
$0.30
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Qwen3.5-9B Quirks & Gotchas
No developer gotchas reported.
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.