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Gemini 1.0 Pro vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 23.6% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, QvQ-72B-Preview is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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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.
10 months newer
Gemini 1.0 Pro
2024-02-15
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 1.0 Pro
Average Score:47.3%
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QvQ-72B-Preview
Average Score:70.8%(+23.6%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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QvQ-72B-Preview
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Gemini 1.0 Pro
Avg Score:47.3%
Providers:1
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QvQ-72B-Preview
Avg Score:70.8%(+23.6%)
Providers:0