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  1. Home
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  3. Compare

DeepSeek V3.1 Base vs Llama 3.3 8B Instruct

Compare DeepSeek V3.1 Base from DeepSeek and Llama 3.3 8B Instruct from Meta Llama on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

Favicon for deepseek
DeepSeek V3.1 Base
Favicon for meta-llama
Llama 3.3 8B Instruct
Favicon for deepseek
DeepSeek V3.1 Base
Favicon for meta-llama
Llama 3.3 8B Instruct

Overview

DeepSeek V3.1 Base
Author
DeepSeek
Llama 3.3 8B Instruct
Author
Meta Llama
DeepSeek V3.1 Base
Context length
164Ktokens
Llama 3.3 8B Instruct
Context length
128Ktokens
DeepSeek V3.1 Base
Reasoning
Llama 3.3 8B Instruct
Reasoning
DeepSeek V3.1 Base
Input modalities
Llama 3.3 8B Instruct
Input modalities
DeepSeek V3.1 Base
Output modalities
Llama 3.3 8B Instruct
Output modalities

DeepSeek V3.1 Base vs Llama 3.3 8B Instruct: side-by-side summary

DeepSeek V3.1 Base and Llama 3.3 8B Instruct are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

DeepSeek V3.1 Base, from DeepSeek, has a 163,840-token context window and is priced by the provider serving it on OpenRouter.

Llama 3.3 8B Instruct, from Meta Llama, has a 128,000-token context window and is priced by the provider serving it on OpenRouter.

Context window
  • DeepSeek V3.1 Base: 163,840 tokens
  • Llama 3.3 8B Instruct: 128,000 tokens
Price
  • DeepSeek V3.1 Base: Pricing varies by provider
  • Llama 3.3 8B Instruct: Pricing varies by provider
Provided by
  • DeepSeek V3.1 Base: DeepSeek
  • Llama 3.3 8B Instruct: Meta Llama
model details, providers and pricing
model details, providers and pricing
DeepSeek V3.1 Base
Llama 3.3 8B Instruct