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DeepSeek-V3.1 vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 offers 71.7K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $0.97 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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.
5 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.97 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Mistral NeMo Instruct
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DeepSeek-V3.1
Avg Score:0.0%
Providers:2
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Mistral NeMo Instruct
Avg Score:0.0%
Providers:2