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IBM Granite 4.0 Tiny Preview vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 20.9% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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IBM
Granite 4.0 Tiny Preview was introduced as an experimental ultra-compact model, designed to demonstrate IBM's progress in efficient model development. Built to explore the boundaries of what small models can achieve for enterprise applications, it represents an early look at next-generation Granite capabilities.
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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 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
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Average performance across 1 common benchmarks
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IBM Granite 4.0 Tiny Preview
Average Score:63.0%
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QwQ-32B
Average Score:83.9%(+20.9%)
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Knowledge Cutoff
Training data recency comparison
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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IBM Granite 4.0 Tiny Preview
0 providers
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QwQ-32B
0 providers
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IBM Granite 4.0 Tiny Preview
Avg Score:63.0%
Providers:0
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QwQ-32B
Avg Score:83.9%(+20.9%)
Providers:0