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Gemini 1.5 Pro vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 6.1% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
10 months newer
Gemini 1.5 Pro
2024-05-01
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 1.5 Pro
Average Score:59.1%
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QwQ-32B
Average Score:65.2%(+6.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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QwQ-32B
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Gemini 1.5 Pro
Avg Score:59.1%
Providers:1
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QwQ-32B
Avg Score:65.2%(+6.1%)
Providers:0