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Gemma 3 4B vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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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
QVQ-72B Preview was introduced as an experimental visual question answering model, designed to combine vision and language understanding for complex reasoning tasks. Built to demonstrate advanced multimodal reasoning capabilities, it represents Qwen's exploration into models that can analyze and reason about visual information.
2 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemma 3 4B
2025-03-12
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Performance Metrics
Context window and performance specifications
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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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QvQ-72B-Preview
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Gemma 3 4B
Avg Score:0.0%
Providers:1
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QvQ-72B-Preview
Avg Score:0.0%
Providers:0