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GPT-4.1 mini vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 13.7% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $1.80 cheaper per million tokens. GPT-4.1 mini 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 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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 mini
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 mini
Input:$0.40
Output:$1.60
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4.1 mini
Average Score:64.2%
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Qwen3 235B A22B
Average Score:77.8%(+13.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:64.2%
Providers:2
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Qwen3 235B A22B
Avg Score:77.8%(+13.7%)
Providers:4