DeepSeek-V2.5 vs Mistral NeMo Instruct Comparison
Comparing DeepSeek-V2.5 and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 1 benchmarks (MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.
DeepSeek-V2.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.1x cheaper than Mistral NeMo Instruct ($0.15/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.9x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).
In conclusion, DeepSeek-V2.5 is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V2.5 has 224.0B more parameters than Mistral NeMo Instruct, making it 1866.7% larger.
Context Window
Maximum input and output token capacity
Mistral NeMo Instruct accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Mistral NeMo Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Mistral NeMo Instruct was released on 2024-07-18.
Mistral NeMo Instruct is 2 months newer than DeepSeek-V2.5.
May 8, 2024
1.8 years ago
Jul 18, 2024
1.7 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Mistral NeMo Instruct is available from Google, Mistral AI. The availability of providers can affect quality of the model and reliability.
DeepSeek-V2.5
Mistral NeMo Instruct
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
Mistral NeMo Instruct
View detailsMistral AI
Detailed Comparison
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