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Gemma 3 27B vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 16.2% higher average benchmark score. Gemma 3 27B supports multimodal inputs. Gemma 3 27B is available on 2 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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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 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). 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 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3 27B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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Gemma 3 27B
Average Score:47.3%(+16.2%)
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Qwen2.5 14B Instruct
Average Score:31.1%
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:47.3%(+16.2%)
Providers:2
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Qwen2.5 14B Instruct
Avg Score:31.1%
Providers:0