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Llama 3.1 70BvsLlama 3.1 405B

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

Llama 3.1 405B leads 2/5 categories

Head-to-Head Comparison

MetricLlama 3.1 70BLlama 3.1 405B
Provider
Arena Rank
#14
#9
Context Window
128K
128K
Input Pricing
Free (open)/1M tokens
Free (open)/1M tokens
Output Pricing
Free (open)/1M tokens
Free (open)/1M tokens
Parameters
70B
405B
Open Source
Yes
Yes
Best For
Balanced performance, fine-tuning, deployment
Complex reasoning, coding, multilingual tasks
Release Date
Jul 23, 2024
Jul 23, 2024

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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Llama 3.1 405B

Llama 3.1 405B is Meta's largest and most capable open-source language model, representing a major milestone as the first open model to rival top proprietary systems like GPT-4 and Claude 3.5 Sonnet across many benchmarks. With 405 billion parameters and a 128K context window, it excels at complex reasoning, coding, multilingual translation, and tool use. Its open-weight nature has made it a foundation for the open-source AI ecosystem, enabling organizations to deploy frontier-level AI without vendor lock-in.

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Key Differences: Llama 3.1 70B vs Llama 3.1 405B

1

Llama 3.1 405B ranks higher in arena benchmarks (#9) indicating stronger overall performance.

2

Llama 3.1 70B has 70B parameters vs Llama 3.1 405B's 405B, which affects inference speed and capability.

L

When to use Llama 3.1 70B

  • +Your use case involves balanced performance, fine-tuning, deployment
View full Llama 3.1 70B specs →
L

When to use Llama 3.1 405B

  • +You need the highest quality output based on arena rankings
  • +Your use case involves complex reasoning, coding, multilingual tasks
View full Llama 3.1 405B specs →

The Verdict

Llama 3.1 405B wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for complex reasoning, coding, multilingual tasks, though Llama 3.1 70B holds an edge in balanced performance, fine-tuning, deployment.

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

Frequently Asked Questions

Which is better, Llama 3.1 70B or Llama 3.1 405B?
In our head-to-head comparison, Llama 3.1 405B leads in 2 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Llama 3.1 405B excels at complex reasoning, coding, multilingual tasks, while Llama 3.1 70B is better suited for balanced performance, fine-tuning, deployment. The best choice depends on your specific requirements, budget, and use case.
How does Llama 3.1 70B pricing compare to Llama 3.1 405B?
Llama 3.1 70B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Llama 3.1 405B 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 3.1 70B and Llama 3.1 405B?
Llama 3.1 70B supports a 128K token context window, while Llama 3.1 405B supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Llama 3.1 70B or Llama 3.1 405B for free?
Llama 3.1 70B is a paid API model starting at Free (open) per 1M input tokens. Llama 3.1 405B 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 3.1 70B or Llama 3.1 405B?
Llama 3.1 70B holds arena rank #14, while Llama 3.1 405B holds rank #9. Llama 3.1 405B performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 3.1 70B or Llama 3.1 405B better for coding?
Llama 3.1 70B's primary strength is balanced performance, fine-tuning, deployment. Llama 3.1 405B is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.