o1 vs Qwen 2.5 72B
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 o1 and Qwen 2.5 72B.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
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.
Technical Specifications
| Specification | o1 | Qwen 2.5 72B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 131,072 tokens |
| Agent Suitability | 88/100 | 88/100 |
| Time to First Token (TTFT) | 2500 ms | 280 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-17 | 2025-09-19 |
API Pricing Comparison
Input Price per Million Tokens
o1
$15.00
Qwen 2.5 72B
$0.40
Output Price per Million Tokens
o1
$60.00
Qwen 2.5 72B
$0.80
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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.
o1 Quirks & Gotchas
- โธReasoning model โ high latency by design, not for real-time use
- โธBest for complex math/code reasoning where accuracy > speed
- โธUse o3-mini when you need reasoning with lower latency
Qwen 2.5 72B Quirks & Gotchas
- โธStrong bilingual (ZH/EN) performance โ best open model for Chinese-language tasks
- โธSelf-hostable via vLLM or Ollama with 4-bit quantization