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Gemma 3 4B vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
Gemma 3 4B supports multimodal inputs. 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
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
6 months newer
Gemma 3 4B
2025-03-12
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
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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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Qwen3-Next-80B-A3B-Base
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Gemma 3 4B
Avg Score:0.0%
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0