BenchLM recommendation
Best Meta AI Models in 2026
As of July 20, 2026, the top model in best meta ai models on the BenchLM leaderboard is Muse Spark 1.1 with a score of 77.4.
Last verified: July 20, 2026
All Meta Llama models ranked by benchmark performance.
Unless noted otherwise, ranking surfaces on this page use BenchLM's provisional leaderboard lane rather than the stricter sourced-only verified leaderboard.
Bottom line: Meta's Llama models are open-weight and free, but benchmark coverage is still sparse for the newest entries. Llama 4 Maverick leads on coding and reasoning. Llama 4 Scout offers 10M context.
Muse Spark 1.1 leads this ranking with a score of 77.4, followed by Muse Spark (71) and Llama 3.1 405B (51.7). There is a significant gap between the leading models and the rest of the field.
The best open-weight option is Llama 3.1 405B (ranked #3 with a score of 51.7). Open-weight models are highly competitive in this category — self-hosting is a viable alternative to proprietary APIs.
This ranking is based on provisional overall weighted scores across BenchLM.ai's scoring formula tracked by BenchLM.ai. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
What changed
Llama 4 Maverick Meta's strongest entry for coding and reasoning tasks.
Llama 4 Scout offers the largest context window of any model at 10M tokens.
Llama 3.1 405B most complete benchmark coverage among Meta models.
How to choose
Full Rankings (7 models)
Key Takeaways
The top model is Muse Spark 1.1 by Meta with a BenchAlign v5 score of 77.4 and Supported evidence.
The best open-weight model is Llama 3.1 405B at position #3.
7 models are included in this ranking.
Score in Context
What these scores mean
Models are ranked by the same overall BenchLM score used across all leaderboards. Comparing within Meta's lineup helps identify which model fits your use case and budget.
Known limitations
This page only shows Meta models. Cross-provider comparison requires the overall or category-specific leaderboards. Newer models may have limited benchmark coverage initially.
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