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Gemini 1.0 Pro vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 10.7% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 7B 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
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
11 months newer
Gemini 1.0 Pro
2024-02-15
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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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:47.9%
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Qwen2.5 VL 7B Instruct
Average Score:58.6%(+10.7%)
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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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Qwen2.5 VL 7B Instruct
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Gemini 1.0 Pro
Avg Score:47.9%
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:58.6%(+10.7%)
Providers:0