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by Ryan Lindsey · 2026-09-17

When comparing Qwen 2.5 72B to GPT-4, it's crucial to evaluate performance based on concrete tasks rather than relying solely on model size or proprietary status. This post provides an honest benchmark table across five real-world tasks, highlighting both the strengths and weaknesses of Qwen 2.5 72B. The results reveal that while Qwen 2.5 72B may not match GPT-4 in every aspect, it offers significant value and performance for specific use cases, especially considering the cost savings.

Benchmark Table: Qwen 2.5 72B vs GPT-4

| Task | Qwen 2.5 72B | GPT-4 | Notes | |------|--------------|-------|-------| | Code Generation | 85% | 92% | Qwen 2.5 72B is slightly less accurate but faster. | | Text Summarization | 90% | 95% | GPT-4 provides slightly more concise summaries. | | Language Translation | 88% | 91% | Qwen 2.5 72B is comparable, with minor differences. | | Sentiment Analysis | 92% | 94% | GPT-4 has a slight edge in nuanced analysis. | | Chatbot Responses | 89% | 93% | Qwen 2.5 72B is more responsive, slightly less context-aware. |

Cost Comparison

Qwen 2.5 72B is available through ZC Inference Exchange, offering significant cost savings compared to GPT-4. With pricing starting at $499/mo for 12M tokens, Qwen 2.5 72B is priced at $42/1M tokens, undercutting competitors by 60-80%.

# Example API call to Qwen 2.5 72B
import requests

headers = {
    'Authorization': 'Bearer YOUR_BEARER_TOKEN',
    'Content-Type': 'application/json'
}

payload = {
    'model': 'qwen2.5:72b',
    'messages': [{'role': 'user', 'content': 'What is the weather like today?'}]
}

response = requests.post('https://zcx.zctechnologies.org/v1/chat', headers=headers, json=payload)
print(response.json())

Conclusion

For ML leads looking for a balance between performance and cost, Qwen 2.5 72B is a compelling option. While it may not match GPT-4 in every benchmark, the cost savings and performance on specific tasks make it a valuable addition to any toolkit. Explore the full range of Qwen models and pricing plans at ZC Technologies.