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.
Bottom line: Claude Mythos Preview leads proprietary models overall, with Gemini 3.1 Pro and GPT-5.4 close behind. The top tier is competitive — choice often comes down to pricing, latency, and API ecosystem.
According to BenchLM.ai, Claude Mythos Preview leads this ranking with a score of 99, followed by Claude Opus 4.7 (97) and GPT-5.4 (93). 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 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.
Claude Mythos Preview
Anthropic · 1M
Highest proprietary score. Leads agentic and coding.
Claude Opus 4.7
Anthropic · 1M
GPT-5.4
OpenAI · 1.05M
Claude Mythos Preview entered at #1 across proprietary models with the highest overall score.
Gemini 3.1 Pro strong #2 among proprietary models — best non-reasoning option.
GPT-5.4 leads knowledge benchmarks at 98 and holds a strong #3.
Best proprietary model regardless of cost?
Claude Mythos Preview — highest overall score
Best without chain-of-thought?
Gemini 3.1 Pro — top non-reasoning proprietary
Knowledge and factual accuracy?
GPT-5.4 — leads knowledge benchmarks at 98
Cost-effective proprietary?
Gemini 3.1 Pro — strong scores at competitive pricing
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The top model is Claude Mythos Preview by Anthropic with a provisional score of 99.
61 models are included in this ranking.
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.
This page only shows proprietary models. Cross-provider comparison requires the overall or category-specific leaderboards. Newer models may have limited benchmark coverage initially.
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