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Mistral Small vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct offers 73.7K more tokens in context window than Mistral Small. Both models have similar pricing. 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 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 days newer
Mistral Small
Mistral AI
2024-09-17
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 Small
Input:$0.20
Output:$0.60
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($0.20 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 7B Instruct
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Mistral Small
Avg Score:0.0%
Providers:1
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Qwen2.5 7B Instruct
Avg Score:0.0%
Providers:1