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Phi-4-multimodal-instruct vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 3.6% higher average benchmark score. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Pricing Comparison
Cost per million tokens (USD)
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.03 cheaper)
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Phi-4-multimodal-instruct
Average Score:36.0%(+3.6%)
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Qwen2.5-Coder 32B Instruct
Average Score:32.5%
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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 32B Instruct
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Phi-4-multimodal-instruct
Avg Score:36.0%(+3.6%)
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:32.5%
Providers:4