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Pixtral-12B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 22.6% higher average benchmark score. Pixtral-12B supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
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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.
5 months newer
Pixtral-12B
Mistral AI
2024-09-17
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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Pixtral-12B
Average Score:61.3%
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QwQ-32B
Average Score:83.9%(+22.6%)
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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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Pixtral-12B
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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QwQ-32B
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Pixtral-12B
Avg Score:61.3%
Providers:1
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QwQ-32B
Avg Score:83.9%(+22.6%)
Providers:0