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Gemini 1.0 Pro vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 22.2% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Overall, Qwen2-VL-72B-Instruct 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
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
6 months newer
Gemini 1.0 Pro
2024-02-15
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 1.0 Pro
Average Score:55.7%
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Qwen2-VL-72B-Instruct
Average Score:77.9%(+22.2%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
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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Qwen2-VL-72B-Instruct
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Gemini 1.0 Pro
Avg Score:55.7%
Providers:1
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Qwen2-VL-72B-Instruct
Avg Score:77.9%(+22.2%)
Providers:0