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DeepSeek-V2.5 vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 25.1% higher average benchmark score. Mistral NeMo Instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Mistral NeMo Instruct
Mistral AI
2024-07-18
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.12 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-V2.5
Average Score:48.5%(+25.1%)
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Mistral NeMo Instruct
Average Score:23.4%
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:48.5%(+25.1%)
Providers:3
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Mistral NeMo Instruct
Avg Score:23.4%
Providers:2