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Gemini 2.0 Flash vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 16.8% higher average benchmark score. Gemini 2.0 Flash supports multimodal inputs. Overall, Qwen2.5 32B Instruct is the stronger choice for coding tasks.
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Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
2 months newer
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.0 Flash
2024-12-01
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Gemini 2.0 Flash
Average Score:30.9%
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Qwen2.5 32B Instruct
Average Score:47.8%(+16.8%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
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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Gemini 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Qwen2.5 32B Instruct
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Gemini 2.0 Flash
Avg Score:30.9%
Providers:1
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Qwen2.5 32B Instruct
Avg Score:47.8%(+16.8%)
Providers:0