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GPT-4 Turbo vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen2.5 VL 32B Instruct supports multimodal inputs. GPT-4 Turbo is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
10 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4 Turbo
Average Score:73.6%
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Qwen2.5 VL 32B Instruct
Average Score:74.5%(+1.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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-4 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:73.6%
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:74.5%(+1.0%)
Providers:0