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Gemini 1.0 Pro vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 37.3% higher average benchmark score. Overall, QwQ-32B 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
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
1 year newer
Gemini 1.0 Pro
2024-02-15
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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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:27.9%
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QwQ-32B
Average Score:65.2%(+37.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
QwQ-32B
2024-11-28
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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QwQ-32B
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Gemini 1.0 Pro
Avg Score:27.9%
Providers:1
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QwQ-32B
Avg Score:65.2%(+37.3%)
Providers:0