Qwen2.5 VL 72B Instruct vs Qwen3 VL 32B Instruct
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 Qwen2.5 VL 72B Instruct and Qwen3 VL 32B Instruct.
Qwen2.5 VL 72B Instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Qwen3 VL 32B Instruct
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Technical Specifications
| Specification | Qwen2.5 VL 72B Instruct | Qwen3 VL 32B Instruct |
|---|---|---|
| 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 | 2025-02-01 | 2025-10-23 |
API Pricing Comparison
Input Price per Million Tokens
Qwen2.5 VL 72B Instruct
$0.80
Qwen3 VL 32B Instruct
$0.10
Output Price per Million Tokens
Qwen2.5 VL 72B Instruct
$1.00
Qwen3 VL 32B Instruct
$0.42
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.
Qwen2.5 VL 72B Instruct Quirks & Gotchas
No developer gotchas reported.
Qwen3 VL 32B Instruct Quirks & Gotchas
No developer gotchas reported.