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Phi 4 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 9.1% higher average benchmark score. QwQ-32B-Preview offers 33.5K more tokens in context window than Phi 4. Both models have similar pricing. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview 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
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
14 days newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Phi 4
Input:$0.07
Output:$0.14($0.14 cheaper)
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QwQ-32B-Preview
Input:$0.15
Output:$0.20
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi 4
Average Score:56.1%
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QwQ-32B-Preview
Average Score:65.2%(+9.1%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
QwQ-32B-Preview
2024-11-28
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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QwQ-32B-Preview
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Phi 4
Avg Score:56.1%
Providers:1
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QwQ-32B-Preview
Avg Score:65.2%(+9.1%)
Providers:4