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Gemini 1.5 Pro vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 16.6% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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.
11 months newer
Gemini 1.5 Pro
2024-05-01
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Performance Metrics
Context window and performance specifications
Average performance across 60 common benchmarks
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Gemini 1.5 Pro
Average Score:27.8%
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Qwen2.5-Omni-7B
Average Score:44.4%(+16.6%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5-Omni-7B
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Gemini 1.5 Pro
Avg Score:27.8%
Providers:1
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Qwen2.5-Omni-7B
Avg Score:44.4%(+16.6%)
Providers:0