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Phi-4-multimodal-instruct vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
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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.
2 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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Pricing Comparison
Cost per million tokens (USD)
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.20 cheaper)
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QwQ-32B-Preview
Input:$0.15
Output:
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
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-multimodal-instruct
1 providers
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
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QwQ-32B-Preview
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1
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QwQ-32B-Preview
Avg Score:0.0%
Providers:4