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Mistral Small vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct offers 190.5K more tokens in context window than Mistral Small. Qwen2.5-Coder 32B Instruct is $0.62 cheaper per million tokens. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
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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
Mistral Small
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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Mistral Small
Input:$0.20
Output:$0.60
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.62 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small
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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Mistral Small
Avg Score:0.0%
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:0.0%
Providers:4