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Gemini 1.5 Pro vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 3.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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Alibaba Cloud / Qwen Team
QVQ-72B Preview was introduced as an experimental visual question answering model, designed to combine vision and language understanding for complex reasoning tasks. Built to demonstrate advanced multimodal reasoning capabilities, it represents Qwen's exploration into models that can analyze and reason about visual information.
7 months newer
Gemini 1.5 Pro
2024-05-01
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 1.5 Pro
Average Score:67.0%
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QvQ-72B-Preview
Average Score:70.8%(+3.8%)
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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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QvQ-72B-Preview
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Gemini 1.5 Pro
Avg Score:67.0%
Providers:1
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QvQ-72B-Preview
Avg Score:70.8%(+3.8%)
Providers:0