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GPT-4 Turbo vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 3.7% higher average benchmark score. Qwen2.5 7B Instruct offers 7.2K more tokens in context window than GPT-4 Turbo. Qwen2.5 7B Instruct is $39.40 cheaper per million tokens. 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
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
5 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($39.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4 Turbo
Average Score:69.2%(+3.7%)
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Qwen2.5 7B Instruct
Average Score:65.6%
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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:69.2%(+3.7%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:65.6%
Providers:1