+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-3.5 Turbo vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 44.3% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. GPT-3.5 Turbo is available on 2 providers. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Performance Metrics
Context window and performance specifications
Average performance across 39 common benchmarks
+
+
+
+
GPT-3.5 Turbo
Average Score:8.7%
+
+
+
+
Qwen2.5 VL 7B Instruct
Average Score:52.9%(+44.3%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
GPT-3.5 Turbo
Avg Score:8.7%
Providers:2
+
+
+
+
Qwen2.5 VL 7B Instruct
Avg Score:52.9%(+44.3%)
Providers:0