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GPT-3.5 Turbo vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 35.0% higher average benchmark score. Qwen3 30B A3B offers 235.5K more tokens in context window than GPT-3.5 Turbo. Qwen3 30B A3B is $1.60 cheaper per million tokens. Overall, Qwen3 30B A3B 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
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 30B A3B
Input:$0.10
Output:$0.30($1.60 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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Qwen3 30B A3B
Average Score:65.8%(+35.0%)
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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:30.8%
Providers:2
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Qwen3 30B A3B
Avg Score:65.8%(+35.0%)
Providers:3