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Mistral NeMo Instruct vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Mistral NeMo Instruct offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. 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 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
2 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Qwen2.5 7B 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($0.30 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30
Performance Metrics
Context window and performance specifications
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:0.0%
Providers:2
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Qwen2.5 7B Instruct
Avg Score:0.0%
Providers:1