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Gemma 3 4B vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 22.6% higher average benchmark score. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
6 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Gemma 3 4B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3 4B
Average Score:58.9%
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Qwen2-VL-72B-Instruct
Average Score:81.4%(+22.6%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Qwen2-VL-72B-Instruct
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Gemma 3 4B
Avg Score:58.9%
Providers:1
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Qwen2-VL-72B-Instruct
Avg Score:81.4%(+22.6%)
Providers:0