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GPT-4.1 nano vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 27.2% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Qwen3 30B A3B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, Qwen3 30B A3B is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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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.
15 days newer
GPT-4.1 nano
OpenAI
2025-04-14
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-4.1 nano
Input:$0.10
Output:$0.40
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Qwen3 30B A3B
Input:$0.10
Output:$0.30($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 nano
Average Score:45.6%
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Qwen3 30B A3B
Average Score:72.8%(+27.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Qwen3 30B A3B
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GPT-4.1 nano
Avg Score:45.6%
Providers:1
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Qwen3 30B A3B
Avg Score:72.8%(+27.2%)
Providers:3