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Pixtral-12B vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 21.2% higher average benchmark score. Qwen3 235B A22B offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
7 months newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen3 235B A22B
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
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Pixtral-12B
Average Score:58.7%
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Qwen3 235B A22B
Average Score:79.8%(+21.2%)
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 235B A22B
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Pixtral-12B
Avg Score:58.7%
Providers:1
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Qwen3 235B A22B
Avg Score:79.8%(+21.2%)
Providers:4