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Gemma 3 4B vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 23.3% higher average benchmark score. Overall, Qwen2.5 VL 7B 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 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
1 month newer
Qwen2.5 VL 7B 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 5 common benchmarks
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Gemma 3 4B
Average Score:60.5%
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Qwen2.5 VL 7B Instruct
Average Score:83.7%(+23.3%)
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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 7B Instruct
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Gemma 3 4B
Avg Score:60.5%
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:83.7%(+23.3%)
Providers:0