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GPT-4.1 nano vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 20.2% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
15 days newer
GPT-4.1 nano
OpenAI
2025-04-14
Qwen3 235B A22B
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 235B A22B
Input:$0.10
Output:$0.10($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 nano
Average Score:56.7%
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Qwen3 235B A22B
Average Score:76.9%(+20.2%)
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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 235B A22B
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GPT-4.1 nano
Avg Score:56.7%
Providers:1
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Qwen3 235B A22B
Avg Score:76.9%(+20.2%)
Providers:4