DeepSeek-V2.5 vs Llama 3.2 3B Instruct Comparison
Comparing DeepSeek-V2.5 and Llama 3.2 3B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 3 benchmarks (GSM8k, MATH, MMLU), while Llama 3.2 3B 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 14.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 14.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).
In conclusion, DeepSeek-V2.5 is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V2.5 has 232.8B more parameters than Llama 3.2 3B Instruct, making it 7252.0% larger.
Context Window
Maximum input and output token capacity
Llama 3.2 3B Instruct accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Llama 3.2 3B 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 Llama 3.2 3B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Llama 3.2 3B Instruct was released on 2024-09-25.
Llama 3.2 3B Instruct is 5 months newer than DeepSeek-V2.5.
May 8, 2024
1.9 years ago
Sep 25, 2024
1.5 years ago
4mo 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. Llama 3.2 3B Instruct is available from DeepInfra. The availability of providers can affect quality of the model and reliability.
DeepSeek-V2.5
Llama 3.2 3B Instruct
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
Detailed Comparison
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