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Phi-4-multimodal-instruct vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Phi-4-multimodal-instruct offers 116.7K more tokens in context window than Qwen2.5 72B Instruct. Phi-4-multimodal-instruct is $0.60 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Qwen2.5 72B 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 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K 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 72B 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($0.60 cheaper)
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Qwen2.5 72B Instruct
Input:$0.35
Output:
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Phi-4-multimodal-instruct
Average Score:37.3%
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Qwen2.5 72B Instruct
Average Score:37.4%(+0.1%)
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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 72B Instruct
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Phi-4-multimodal-instruct
Avg Score:37.3%
Providers:1
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Qwen2.5 72B Instruct
Avg Score:37.4%(+0.1%)
Providers:4