Qwen3 32B vs Qwen3.5-9B
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 32B and Qwen3.5-9B.
Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
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...
Technical Specifications
| Specification | Qwen3 32B | Qwen3.5-9B |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 131,072 tokens | 262,144 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 | 2025-04-28 | 2026-03-10 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3 32B
$0.08
Qwen3.5-9B
$0.10
Output Price per Million Tokens
Qwen3 32B
$0.28
Qwen3.5-9B
$0.15
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 32B Quirks & Gotchas
No developer gotchas reported.
Qwen3.5-9B Quirks & Gotchas
No developer gotchas reported.