Llama 4 Review 2026
MetaLarge Language Model2025-044.6/5
Overview
Meta's next-generation open-source model family with mixture-of-experts architecture, improved multilingual capabilities, and enhanced reasoning. Sets a new standard for open-weight model performance.
ProviderMeta
Context Window256K tokens
PricingFree (self-hosted) / $0.30-$2 per 1M tokens (hosted)
Capabilities
- ✓ Advanced reasoning
- ✓ Code generation
- ✓ Multilingual support
- ✓ Mixture-of-experts efficiency
- ✓ Tool use
- ✓ Long-context processing
Pricing
Free (self-hosted) / $0.30-$2 per 1M tokens (hosted)
Pros & Cons
Pros
- +New MoE architecture delivers better performance per compute dollar
- +Fully open weights with commercial license
- +256K context window improves on predecessor significantly
- +Strong multilingual performance across 20+ languages
Cons
- -Full model still requires substantial compute for self-hosting
- -Community fine-tunes vary widely in quality
- -Safety alignment less comprehensive than proprietary models
Frequently Asked Questions
What is Llama 4?▾
Meta's next-generation open-source model family with mixture-of-experts architecture, improved multilingual capabilities, and enhanced reasoning. Sets a new standard for open-weight model performance.
How much does Llama 4 cost?▾
Llama 4 pricing: Free (self-hosted) / $0.30-$2 per 1M tokens (hosted)
What is the context window for Llama 4?▾
Llama 4 supports a context window of 256K tokens.
When was Llama 4 released?▾
Llama 4 was released on 2025-04 by Meta.