Apex

Apex is a challenging frontier reasoning benchmark testing advanced multi-step problem solving across difficult STEM and logical tasks.

Nemotron 3 Ultra (550B A55B) from NVIDIA currently leads the Apex leaderboard with a score of 0.848 across 2 evaluated AI models.

About this benchmark

What Apex measures

Apex is a text benchmark that evaluates large language models on reasoning tasks. LLM Stats tracks 2 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.5, with the leader reaching 0.8.

Compare leaders on the best AI for reasoning leaderboards.

NVIDIANemotron 3 Ultra (550B A55B) leads with 84.8%, followed by Alibaba Cloud / Qwen TeamQwen3.7-Plus at 22.7%.

Progress Over Time

Interactive timeline showing model performance evolution on Apex

State-of-the-art frontier
Open
Proprietary

Apex Leaderboard

2 models
ContextCostLicense
1550B
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
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FAQ

Common questions about Apex.

What is the Apex benchmark?

Apex is a challenging frontier reasoning benchmark testing advanced multi-step problem solving across difficult STEM and logical tasks.

What is the Apex leaderboard?

The Apex leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Nemotron 3 Ultra (550B A55B) by NVIDIA leads with a score of 0.848. The average score across all models is 0.537.

What is the highest Apex score?

The highest Apex score is 0.848, achieved by Nemotron 3 Ultra (550B A55B) from NVIDIA.

How many models are evaluated on Apex?

2 models have been evaluated on the Apex benchmark, with 0 verified results and 2 self-reported results.

What categories does Apex cover?

Apex is categorized under reasoning. The benchmark evaluates text models.

What is the best open-source model on Apex?

Nemotron 3 Ultra (550B A55B) by NVIDIA is the top-ranked open-source model on Apex, with a score of 0.848 (rank #1).

How recent are the Apex leaderboard results?

The Apex leaderboard was last updated in June 2026 and currently includes 2 evaluated models.

More evaluations to explore

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