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Gemini 1.0 Pro vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 37.3% higher average benchmark score. QwQ-32B-Preview offers 24.6K more tokens in context window than Gemini 1.0 Pro. QwQ-32B-Preview is $1.65 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview 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 Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
9 months newer
Gemini 1.0 Pro
2024-02-15
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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QwQ-32B-Preview
Input:$0.15
Output:$0.20($1.65 cheaper)
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-Preview
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-Preview
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-Preview
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Gemini 1.0 Pro
Avg Score:27.9%
Providers:1
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QwQ-32B-Preview
Avg Score:65.2%(+37.3%)
Providers:4