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Gemma 3 4B vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 19.9% higher average benchmark score. Overall, Qwen2.5 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
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
1 month newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Gemma 3 4B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3 4B
Average Score:67.3%
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Qwen2.5 VL 72B Instruct
Average Score:87.3%(+19.9%)
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Knowledge Cutoff
Training data recency comparison
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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Qwen2.5 VL 72B Instruct
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Gemma 3 4B
Avg Score:67.3%
Providers:1
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Qwen2.5 VL 72B Instruct
Avg Score:87.3%(+19.9%)
Providers:0