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Pixtral-12B vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
7 months newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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Pixtral-12B
Input:$0.15
Output:$0.15($0.10 cheaper)
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Qwen3 32B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
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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Qwen3 32B
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Pixtral-12B
Avg Score:0.0%
Providers:1
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Qwen3 32B
Avg Score:0.0%
Providers:3