Best Proprietary LLMs in 2026
As of September 29, 2026, the top model in best proprietary llms on the BenchLM leaderboard is GPT-6 Astra with a score of 88.2.
Bottom line: the live table above sets the proprietary order. Near the top, choice often comes down to pricing, latency, access, and API ecosystem, so check each row's evidence label and price before treating the rank as a decision.
This ranking moves when models ship. Get the releases, price changes and retirements that affect your shortlist. Follow model changes
Full Rankings (114 models)
Key Takeaways
The top model is GPT-6 Astra by OpenAI with a BenchAlign v5.7 score of 88.2 and Supported evidence.
114 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 proprietary's lineup helps identify which model fits your use case and budget.
Known limitations
This page only shows proprietary models. Cross-provider comparison requires the overall or category-specific leaderboards. Newer models may have limited benchmark coverage initially.
About this ranking
Ranking data as of September 29, 2026
Top proprietary/closed-source AI 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.
GPT-6 Astra leads this ranking with a score of 88.2, followed by Claude Opus 5.5 (86.9) and Claude Fable 5.1 (82.5). There is meaningful separation between the top models, suggesting genuine performance differences.
All models in this ranking are proprietary. No open-weight alternatives are available for this category.
This ranking uses provisional overall weighted scores from the active scoring formula. For detailed model profiles, click any model name above. To compare two specific models head-to-head, use the "vs #" links.
Explore More
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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