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Gemma 3 4B vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 19.8% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
1 month newer
Gemma 3 4B
2025-03-12
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.14 cheaper)
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Qwen3 235B A22B
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemma 3 4B
Average Score:52.5%
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Qwen3 235B A22B
Average Score:72.3%(+19.8%)
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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 235B A22B
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Gemma 3 4B
Avg Score:52.5%
Providers:1
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Qwen3 235B A22B
Avg Score:72.3%(+19.8%)
Providers:4