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Phi 4 vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 22.8% higher average benchmark score. Qwen3 32B offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B is the stronger choice for coding tasks.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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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.
4 months newer
Phi 4
Microsoft
2024-12-12
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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Phi 4
Input:$0.07
Output:$0.14($0.19 cheaper)
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Qwen3 32B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Phi 4
Average Score:61.5%
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Qwen3 32B
Average Score:84.3%(+22.8%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Qwen3 32B
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Phi 4
Avg Score:61.5%
Providers:1
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Qwen3 32B
Avg Score:84.3%(+22.8%)
Providers:3