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Llama 3 8BvsLlama 3.1 70B

Meta AI vs Meta AI — Side-by-side model comparison

Llama 3.1 70B leads 3/5 categories

Head-to-Head Comparison

MetricLlama 3 8BLlama 3.1 70B
Provider
Arena Rank
#14
Context Window
8K
128K
Input Pricing
Free (open)/1M tokens
Free (open)/1M tokens
Output Pricing
Free (open)/1M tokens
Free (open)/1M tokens
Parameters
8B
70B
Open Source
Yes
Yes
Best For
Edge deployment, fast inference, fine-tuning
Balanced performance, fine-tuning, deployment
Release Date
Apr 18, 2024
Jul 23, 2024

Llama 3 8B

Llama 3 8B is Meta's compact model that delivered breakthrough performance for its size class, outperforming the much larger Llama 2 70B on many benchmarks despite being nearly 10x smaller. Its efficiency and strong instruction following made it the most popular starting point for fine-tuning custom models in the open-source community.

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Llama 3.1 70B

Llama 3.1 70B is Meta's mid-tier open-source model that offers an exceptional balance of capability and efficiency. At 70 billion parameters with a 128K context window, it delivers strong performance on reasoning, coding, and general tasks while being feasible to run on high-end consumer hardware or affordable cloud instances. It has become one of the most popular foundation models for fine-tuning and custom deployments across the industry.

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Key Differences: Llama 3 8B vs Llama 3.1 70B

1

Llama 3.1 70B supports a larger context window (128K), allowing it to process longer documents in a single request.

2

Llama 3 8B has 8B parameters vs Llama 3.1 70B's 70B, which affects inference speed and capability.

L

When to use Llama 3 8B

  • +Your use case involves edge deployment, fast inference, fine-tuning
View full Llama 3 8B specs →
L

When to use Llama 3.1 70B

  • +You need to process long documents (128K context)
  • +Your use case involves balanced performance, fine-tuning, deployment
View full Llama 3.1 70B specs →

The Verdict

Llama 3.1 70B wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for balanced performance, fine-tuning, deployment, though Llama 3 8B holds an edge in edge deployment, fast inference, fine-tuning.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Llama 3 8B or Llama 3.1 70B?
In our head-to-head comparison, Llama 3.1 70B leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Llama 3.1 70B excels at balanced performance, fine-tuning, deployment, while Llama 3 8B is better suited for edge deployment, fast inference, fine-tuning. The best choice depends on your specific requirements, budget, and use case.
How does Llama 3 8B pricing compare to Llama 3.1 70B?
Llama 3 8B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Llama 3.1 70B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Llama 3 8B and Llama 3.1 70B?
Llama 3 8B supports a 8K token context window, while Llama 3.1 70B supports 128K tokens. Llama 3.1 70B can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Llama 3 8B or Llama 3.1 70B for free?
Llama 3 8B is a paid API model starting at Free (open) per 1M input tokens. Llama 3.1 70B is a paid API model starting at Free (open) per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Llama 3 8B or Llama 3.1 70B?
Llama 3 8B's arena rank is not yet available, while Llama 3.1 70B holds rank #14. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 3 8B or Llama 3.1 70B better for coding?
Llama 3 8B's primary strength is edge deployment, fast inference, fine-tuning. Llama 3.1 70B's primary strength is balanced performance, fine-tuning, deployment. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.