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DeepSeek-V3 vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 20.5% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $1.07 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($1.07 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3
Average Score:88.5%(+20.5%)
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Mistral NeMo Instruct
Average Score:68.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Mistral NeMo Instruct
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DeepSeek-V3
Avg Score:88.5%(+20.5%)
Providers:1
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2