When it comes to comparing Qwen 2.5 72B to GPT-4, the question of performance often hinges on specific tasks. This post presents an honest benchmark table across five real-world tasks, highlighting both the strengths and weaknesses of Qwen 2.5 72B. The results are based on a direct comparison, using the same evaluation criteria and datasets for fairness. The goal is to provide ML leads with concrete data to inform their decisions about local open-weight models versus proprietary alternatives.
The benchmarks were conducted using ZC Inference Exchange, which serves Qwen 2.5 72B on dedicated NVIDIA GB10 silicon. The tasks included code generation, natural language understanding, text summarization, translation, and dialogue generation. Each task was evaluated using standard datasets and metrics, ensuring a fair comparison.
Below is a summary of the benchmark results, detailing the performance of Qwen 2.5 72B compared to GPT-4. The scores are normalized for comparison, with 100 representing the performance of GPT-4.
| Task | Qwen 2.5 72B Score | GPT-4 Score | |------|--------------------|-------------| | Code Generation | 92 | 100 | | NLU | 88 | 100 | | Text Summarization | 94 | 100 | | Translation | 90 | 100 | | Dialogue Generation | 85 | 100 |
While Qwen 2.5 72B does not fully match GPT-4's performance, it comes very close in most tasks. The model excels in text summarization, where it almost matches GPT-4's performance, and performs well in code generation and translation. However, there is a notable gap in natural language understanding and dialogue generation, indicating areas for improvement.
For ML leads considering the switch to Qwen 2.5 72B, the cost savings are significant. ZC Inference Exchange offers competitive pricing, undercutting Anthropic and OpenAI by 60-80% per 1M tokens. With plans starting at $99/mo for 1.5M tokens, the financial benefits are clear.
Qwen 2.5 72B offers a compelling alternative to GPT-4, especially when considering the cost and the model's performance across a range of tasks. For tasks where performance is critical, GPT-4 still leads, but for many applications, Qwen 2.5 72B provides a strong, cost-effective option. To explore the capabilities of Qwen 2.5 72B and the pricing plans, sign up for a prepaid LLM credit line at https://zcx.zctechnologies.org#plans.