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Mistral vs Llama-3: Benchmarking Open Weights Models

An in-depth look at the battle for open-source LLM supremacy. We benchmark Mistral NeMo against Meta's Llama-3 8B.

July 27, 20266 min read1,984 views
Mistral vs Llama-3: Benchmarking Open Weights Models
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The Golden Age of Open Models

The gap between proprietary models (like GPT-4) and open weights models is rapidly closing. Meta's Llama-3 and Mistral's models are leading the charge.

Llama-3 8B Performance

Llama-3 8B punches way above its weight class. It exhibits excellent reasoning, high-quality coding capabilities, and strict instruction following, though its context window is limited to 8K.

Mistral NeMo (12B)

Mistral NeMo, built in collaboration with Nvidia, offers a massive 128K context window. It excels in summarization and multilingual tasks, providing a strong alternative to Llama-3 for document-heavy workloads.

Frequently Asked Questions

What does 'Open Weights' mean?+
Open weights means you can download the trained model file, but you may not have access to the original training data or the exact code used to train it (unlike true open-source).

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