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Pixtral-12B vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 11.9% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B Instruct 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
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
2 days newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.12 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Pixtral-12B
Average Score:63.1%
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Qwen2.5-Coder 32B Instruct
Average Score:75.0%(+11.9%)
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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Qwen2.5-Coder 32B Instruct
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Pixtral-12B
Avg Score:63.1%
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:75.0%(+11.9%)
Providers:4