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Gemma 3 4B vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 1.1% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3 4B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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Gemma 3 4B
Average Score:36.3%(+1.1%)
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Qwen2.5 32B Instruct
Average Score:35.2%
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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 32B Instruct
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Gemma 3 4B
Avg Score:36.3%(+1.1%)
Providers:1
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Qwen2.5 32B Instruct
Avg Score:35.2%
Providers:0