Qwen 2.5 72B 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 Qwen 2.5 72B and Qwen3.5-9B.
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.
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 | Qwen 2.5 72B | Qwen3.5-9B |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 131,072 tokens | 262,144 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 | 2026-03-10 |
API Pricing Comparison
Input Price per Million Tokens
Qwen 2.5 72B
$0.40
Qwen3.5-9B
$0.10
Output Price per Million Tokens
Qwen 2.5 72B
$0.80
Qwen3.5-9B
$0.15
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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
Qwen3.5-9B Quirks & Gotchas
No developer gotchas reported.