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Gemma 3 27B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 1.7% higher average benchmark score. Gemma 3 27B is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
12 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Gemma 3 27B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 46 common benchmarks
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Gemma 3 27B
Average Score:37.0%
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Qwen2.5 VL 32B Instruct
Average Score:38.7%(+1.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3 27B
Avg Score:37.0%
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:38.7%(+1.7%)
Providers:0