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Mistral NeMo Instruct vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 3.6% higher average benchmark score. Both models have similar pricing. 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 Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
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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 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
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 NeMo Instruct
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 4 common benchmarks
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Mistral NeMo Instruct
Average Score:69.7%
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Qwen2.5-Coder 32B Instruct
Average Score:73.3%(+3.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral NeMo Instruct
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral NeMo Instruct
Avg Score:69.7%
Providers:2
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Qwen2.5-Coder 32B Instruct
Avg Score:73.3%(+3.6%)
Providers:4