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Gemini 1.5 Flash vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 6.8% higher average benchmark score. Overall, QvQ-72B-Preview is the stronger choice for coding tasks.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
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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 Flash
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 Flash
Average Score:64.1%
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QvQ-72B-Preview
Average Score:70.8%(+6.8%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
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 Flash
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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QvQ-72B-Preview
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Gemini 1.5 Flash
Avg Score:64.1%
Providers:1
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QvQ-72B-Preview
Avg Score:70.8%(+6.8%)
Providers:0