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Llama 3 70BvsLlama 3.1 8B

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

Llama 3.1 8B leads 2/5 categories

Head-to-Head Comparison

MetricLlama 3 70BLlama 3.1 8B
Provider
Arena Rank
#22
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
70B
8B
Open Source
Yes
Yes
Best For
General tasks, fine-tuning, instruction following
Edge deployment, mobile, fast inference
Release Date
Apr 18, 2024
Jul 23, 2024

Llama 3 70B

Llama 3 70B was Meta's flagship open model at launch, significantly outperforming Llama 2 across all benchmarks with improved reasoning, coding, and instruction-following capabilities. It became one of the most downloaded and fine-tuned open models in history, spawning thousands of community variants and establishing Meta's position as the leader in open-source AI development.

View Meta AI profile →

Llama 3.1 8B

Llama 3.1 8B is Meta's smallest model in the Llama 3.1 family, designed for environments where computational resources are limited but strong language understanding is still needed. Despite its compact 8 billion parameter size, it maintains a 128K context window and delivers impressive performance on coding, reasoning, and conversational tasks relative to its size. It runs efficiently on a single GPU and is widely used for edge deployment, mobile applications, and cost-sensitive production workloads.

View Meta AI profile →

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

1

Llama 3.1 8B supports a larger context window (128K), allowing it to process longer documents in a single request.

2

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

L

When to use Llama 3 70B

  • +Your use case involves general tasks, fine-tuning, instruction following
View full Llama 3 70B specs →
L

When to use Llama 3.1 8B

  • +You need to process long documents (128K context)
  • +Your use case involves edge deployment, mobile, fast inference
View full Llama 3.1 8B specs →

The Verdict

Llama 3.1 8B wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for edge deployment, mobile, fast inference, though Llama 3 70B holds an edge in general tasks, fine-tuning, instruction following.

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

Frequently Asked Questions

Which is better, Llama 3 70B or Llama 3.1 8B?
In our head-to-head comparison, Llama 3.1 8B leads in 2 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Llama 3.1 8B excels at edge deployment, mobile, fast inference, while Llama 3 70B is better suited for general tasks, fine-tuning, instruction following. The best choice depends on your specific requirements, budget, and use case.
How does Llama 3 70B pricing compare to Llama 3.1 8B?
Llama 3 70B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Llama 3.1 8B 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 70B and Llama 3.1 8B?
Llama 3 70B supports a 8K token context window, while Llama 3.1 8B supports 128K tokens. Llama 3.1 8B 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 70B or Llama 3.1 8B for free?
Llama 3 70B is a paid API model starting at Free (open) per 1M input tokens. Llama 3.1 8B 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 70B or Llama 3.1 8B?
Llama 3 70B's arena rank is not yet available, while Llama 3.1 8B holds rank #22. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 3 70B or Llama 3.1 8B better for coding?
Llama 3 70B's primary strength is general tasks, fine-tuning, instruction following. Llama 3.1 8B's primary strength is edge deployment, mobile, fast inference. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.