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Gemini 2.5 Pro vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 4.3% higher average benchmark score. Gemini 2.5 Pro supports multimodal inputs. Gemini 2.5 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Gemini 2.5 Pro
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Gemini 2.5 Pro
Average Score:34.8%
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Qwen2 72B Instruct
Average Score:39.1%(+4.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
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 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:34.8%
Providers:2
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Qwen2 72B Instruct
Avg Score:39.1%(+4.3%)
Providers:0