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Mistral Small vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct offers 73.7K more tokens in context window than Mistral Small. Both models have similar pricing. Qwen2.5 72B 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 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
2 days newer
Mistral Small
Mistral AI
2024-09-17
Qwen2.5 72B 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 72B Instruct
Input:$0.35
Output:$0.40($0.05 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 72B Instruct
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Mistral Small
Avg Score:0.0%
Providers:1
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Qwen2.5 72B Instruct
Avg Score:0.0%
Providers:4