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GPT-5 mini vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 18.4% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Qwen3 30B A3B. Qwen3 30B A3B is $1.85 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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.
3 months newer
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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Qwen3 30B A3B
Input:$0.10
Output:$0.30($1.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 mini
Average Score:86.7%(+18.4%)
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Qwen3 30B A3B
Average Score:68.3%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:86.7%(+18.4%)
Providers:2
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Qwen3 30B A3B
Avg Score:68.3%
Providers:3