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GPT-4.1 mini vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 32.2% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Qwen3 32B. Qwen3 32B is $1.60 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, Qwen3 32B 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 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
15 days newer
GPT-4.1 mini
OpenAI
2025-04-14
Qwen3 32B
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 32B
Input:$0.10
Output:$0.30($1.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 mini
Average Score:44.9%
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Qwen3 32B
Average Score:77.1%(+32.2%)
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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:44.9%
Providers:2
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Qwen3 32B
Avg Score:77.1%(+32.2%)
Providers:3