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Llama 4 (400B)

Open Source King
Meta
Released: 2025-07-22
Type: Open Source
Context
128k
Max Out
4.1k
Cutoff
2025-05
Params
400B

Evolution: What Changed?

  • Massive parameter increase (400B vs 70B)
  • Reasoning capabilities now match proprietary frontier models
  • Multilingual support expanded to 100+ languages
Compared to llama-3-70b

Evolution: What Changed?

  • Massive parameter increase (400B vs 70B)
  • Reasoning capabilities now match proprietary frontier models
  • Multilingual support expanded to 100+ languages
compared to previous generation

The Breakdown

The Llama 4 (400B) represents a significant leap forward in Meta's lineup. Released in 2025-07-22, it targets developers and enterprise use cases with a specific focus on reasoning capabilities over raw conversational speed. While previous iterations in the Open Source category often struggled with complex multi-step instruction following, this model introduces a refined architecture that dramatically improves adherence to system prompts and reduces hallucination rates in technical domains. It competes directly with top-tier frontier models but carves out a distinct niche for workflows where precision and context retention matter more than creative flair. For businesses looking to integrate reliable AI agents, Llama 4 (400B) offers a compelling balance of performance and cost-efficiency.

Overall Score
9.5
/10
Pricing (per 1k tokens)
Input$0
Output$0
Currency: USD (Self-Hosted)

The Good

  • Open weights - run it anywhere
  • Performance rivals GPT-4o
  • Massive ecosystem support

The Bad

  • Requires significant VRAM to run locally
  • License restrictions for massive commercial use

The Verdict

The definition of open source power. If you have the hardware (or cloud budget), this is the model to beat for privacy-conscious applications.

Performance Benchmarks

mmlu
88.5
human eval
89
math
84.2