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Phi-4-multimodal-instruct vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 21.5% higher average benchmark score. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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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
Qwen3 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Pricing Comparison
Cost per million tokens (USD)
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.25 cheaper)
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Qwen3 30B A3B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Phi-4-multimodal-instruct
Average Score:47.0%(+21.5%)
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Qwen3 30B A3B
Average Score:25.5%
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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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Qwen3 30B A3B
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Phi-4-multimodal-instruct
Avg Score:47.0%(+21.5%)
Providers:1
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Qwen3 30B A3B
Avg Score:25.5%
Providers:3