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GPT-3.5 Turbo vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 34.4% higher average benchmark score. QwQ-32B-Preview offers 45.1K more tokens in context window than GPT-3.5 Turbo. QwQ-32B-Preview is $1.65 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview 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
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
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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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QwQ-32B-Preview
Input:$0.15
Output:$0.20($1.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-3.5 Turbo
Average Score:30.8%
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QwQ-32B-Preview
Average Score:65.2%(+34.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
QwQ-32B-Preview
2024-11-28
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:30.8%
Providers:2
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QwQ-32B-Preview
Avg Score:65.2%(+34.4%)
Providers:4