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Phi-4-multimodal-instruct vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. 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
Qwen 2.5 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
4 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
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-multimodal-instruct
1 providers
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
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Qwen2.5-Coder 7B Instruct
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:0.0%
Providers:0