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GPT-3.5 Turbo vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 18.3% higher average benchmark score. Qwen2.5 7B Instruct offers 118.8K more tokens in context window than GPT-3.5 Turbo. Qwen2.5 7B Instruct is $1.40 cheaper per million tokens. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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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.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
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-3.5 Turbo
Input:$0.50
Output:$1.50
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($1.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-3.5 Turbo
Average Score:47.3%
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Qwen2.5 7B Instruct
Average Score:65.6%(+18.3%)
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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
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GPT-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
Avg Score:47.3%
Providers:2
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Qwen2.5 7B Instruct
Avg Score:65.6%(+18.3%)
Providers:1