ShipSquad

Llama 3.1 405B Review 2026

MetaLarge Language Model2024-074.5/5

Overview

Meta's largest open-source model with 405 billion parameters, rivaling proprietary models on benchmarks. Available for self-hosting and commercial use, making it a cornerstone of the open-source AI ecosystem.

ProviderMeta
Context Window128K tokens
PricingFree (self-hosted) / $0.50-$3 per 1M tokens (hosted)

Capabilities

  • Text generation
  • Code generation
  • Multilingual support
  • Tool use
  • Mathematical reasoning
  • Long-context processing

Pricing

Free (self-hosted) / $0.50-$3 per 1M tokens (hosted)

Pros & Cons

Pros

  • +Fully open-source with permissive commercial license
  • +Performance competitive with top proprietary models
  • +Can be self-hosted for complete data privacy
  • +Large community with extensive fine-tuning ecosystem

Cons

  • -Requires significant GPU resources to self-host the full model
  • -Hosted API pricing varies widely across providers
  • -Less refined safety tuning compared to proprietary alternatives

Frequently Asked Questions

What is Llama 3.1 405B?

Meta's largest open-source model with 405 billion parameters, rivaling proprietary models on benchmarks. Available for self-hosting and commercial use, making it a cornerstone of the open-source AI ecosystem.

How much does Llama 3.1 405B cost?

Llama 3.1 405B pricing: Free (self-hosted) / $0.50-$3 per 1M tokens (hosted)

What is the context window for Llama 3.1 405B?

Llama 3.1 405B supports a context window of 128K tokens.

When was Llama 3.1 405B released?

Llama 3.1 405B was released on 2024-07 by Meta.

Further Reading

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