Meta
Llama 4
The fourth generation of Meta's open-weight model family, a prominent choice in the 2026 open-source landscape.
Our editorial assessment, based on the public sources listed below. Last reviewed .
- Overall rank
- #59
- Tier
- A
- Score
- 74.8
- Main category
- Overall
Strengths
- A key and widely-used model in the 2026 open-source ecosystem.
- Builds on a well-documented and broadly adopted series of models.
Considerations
- Performance typically lags behind the top closed-source frontier models of the same year.
- Commercial use licenses can include specific restrictions and requirements.
Price
Open weights (Llama 4 Community License); API from $0.10 / $0.30 (Scout) to $0.19 / $0.65 (Maverick) per 1M tokens via OpenRouter
Shown for reference — price is not part of the score.
Score breakdown
- Performance
- 76.0
- 55% of score
- Reputation
- 80.0
- 35% of score
- Recency
- 50.0
- 10% of score
The overall score combines these sub-scores using the weights shown. How we score →
Verification status
Each field carries its own re-verification date. Amber means older than 90 days — treat those figures as stale until re-checked.
- Pricing
- Benchmark
- Reputation
- Feature list
Checked against the sources listed below.
Sources
- Codersera: Llama 4 guide - Scout, Maverick, Behemoth status (2026) (opens in a new tab)Accessed:
- VentureBeat: Meta launches proprietary Muse Spark (opens in a new tab)Accessed:
- AI News: Meta Muse Spark and its open-source identity (opens in a new tab)Accessed:
- Meta Llama (opens in a new tab)Accessed:
- Artificial Analysis — Model Leaderboard (opens in a new tab)Accessed:
Show 2 more sources
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