Downloadable model · 2 comparisons

Llama-3.1-8B-Instruct compared

Llama-3.1-8B-Instruct has 8 billion parameters, about 4.0 GB of weights at 4-bit, reads up to 131,072 tokens in one request and is released under the Llama 3.1 Community License. Here it is compared with Qwen3-8B and Mistral-7B-Instruct-v0.3. Pick a matchup for the full side-by-side, a monthly cost calculator and our verdict.

Llama-3.1-8B-Instruct at a glance

Context window
131,072 tokens
Accepts
text
Official website

Llama-3.1-8B-Instruct next to similar models

The figures that decide whether a downloadable model fits your hardware and your project, for every model it is compared with.

Llama-3.1-8B-Instruct compared on size, memory, context and licence
ModelParametersWeights at 4-bitContextLicence
Llama-3.1-8B-Instruct (this model)8.0Babout 4.0 GB131,072Llama 3.1 Community License
Qwen3-8B8.2Babout 4.1 GB32,768Apache 2.0
Mistral-7B-Instruct-v0.37.2Babout 3.6 GB—Apache 2.0

Weights only, at 4 bits per parameter. Conversations need memory on top of that; the model hardware calculator works out the full figure for your context length.

  • Mistral-7B-Instruct-v0.3 is the smallest here: its weights need about 3.6 GB at 4-bit, against 4.0 GB for Llama-3.1-8B-Instruct.
  • Llama-3.1-8B-Instruct reads the most text in one go here, 131,072 tokens, against 32,768 tokens for Qwen3-8B.
  • The licences differ: Llama-3.1-8B-Instruct uses the Llama 3.1 Community License; Qwen3-8B and Mistral-7B-Instruct-v0.3 use Apache 2.0. The Llama 3.1 licence also allows commercial use, but needs a separate licence from Meta above 700 million monthly users and asks you to show “Built with Llama”; Apache 2.0 lets you use, change and sell products built on the model with few conditions.

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