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Gemma 3 12B vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 23.9% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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.
7 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Gemma 3 12B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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Gemma 3 12B
Average Score:49.2%(+23.9%)
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Qwen2 7B Instruct
Average Score:25.3%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Qwen2 7B Instruct
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Gemma 3 12B
Avg Score:49.2%(+23.9%)
Providers:1
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Qwen2 7B Instruct
Avg Score:25.3%
Providers:0