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GPT-4o vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
GPT-4o leads with 1.8% higher average benchmark score. GPT-4o is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
23 days newer
GPT-4o
OpenAI
2024-08-06
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o
Average Score:72.6%(+1.8%)
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Qwen2-VL-72B-Instruct
Average Score:70.8%
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:72.6%(+1.8%)
Providers:2
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Qwen2-VL-72B-Instruct
Avg Score:70.8%
Providers:0