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DeepSeek-V2.5 vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 20.5% higher average benchmark score. Ministral 8B Instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
5 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Ministral 8B Instruct
Mistral AI
2024-10-16
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Ministral 8B Instruct
Input:$0.10
Output:$0.10($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V2.5
Average Score:82.1%(+20.5%)
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Ministral 8B Instruct
Average Score:61.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:82.1%(+20.5%)
Providers:3
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Ministral 8B Instruct
Avg Score:61.6%
Providers:1