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Gemma 3 4B vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 29.6% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 124.9K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $3.24 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 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 Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
4 months newer
Gemma 3 4B
2025-03-12
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($3.24 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3 4B
Average Score:54.9%
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Qwen3-235B-A22B-Thinking-2507
Average Score:84.4%(+29.6%)
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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-Thinking-2507
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Gemma 3 4B
Avg Score:54.9%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:84.4%(+29.6%)
Providers:1