ComplexNLU (Tencent)

o1 64.7% leads since June 2025

Dropped

Labs’ own numbers All independent runs

Models answer Tencent in-house natural language understanding tasks with complex inputs. Task and scoring details are not published.

Seen in the Hunyuan-A13B-Instruct card. Scoring method is a guess from the task type.

Made by: Tencent Hunyuan
Released: June 2025
Kind: Reading comprehension
Level: Everyday
Scored: Checked automatically
Answers: Short answer
Tasks: Kept private

Strongest model tested: o1 #117 on the capability index
Last in a launch post: June 2025, dropped before it saturated
Last model added: June 2025
Scores refreshed: November 12th, 2026

Model scored in lab cards

Launch post lists it, from 1 lab

System card reports it, from 1 lab

Hunyuan-A13B-Instruct leads with 61.2%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

o1 leads with 64.7% across all independent runs

Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.

Bars Table

61.2 Hunyuan-A13B-Instruct

1 Hunyuan-A13B-Instruct 61.2%

Source: Labs’ model cards

Source: Official ComplexNLU (Tencent) leaderboard

#	Model	Score	Setting	Date	Source
1	Hunyuan-A13B-Instruct	61.2%		Jun 2025	Lab model card

#	Model	Score	Date	Source
1	o1	64.7%	Dec 2024	Official leaderboard
2	DeepSeek-R1 May 2025	64.5%	May 2025	Official leaderboard
3	Hunyuan-A13B-Instruct	61.2%	Jun 2025	Official leaderboard
4	Qwen3-235B-A22B	59.8%	Apr 2025	Official leaderboard

The benchmark's own leaderboard has 4 models. Switch the scores above to rank them together.

Number one over time Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI

Own leaderboard Not tested since Jun 2025

o1 64.7%

Source: Official ComplexNLU (Tencent) leaderboard

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card

Sources: Official ComplexNLU (Tencent) leaderboard and labs’ model cards

No launch post has listed it since June 2025

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Tencent

Date	Launch post	Score	As the post writes it
Jun 27, 2025	Hunyuan-A13B-Instruct	61.2	ComplexNLU

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

Date	Document	Score	As the document writes it	Section
Jun 26, 2025	Hunyuan-A13B-Instruct technical report	61.2	ComplexNLU, slow-thinking (Table 3). Fast-thinking 54.5 (Table 4)	Capabilities

One lab claim next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.

Model	Lab says	Board says	Gap
Hunyuan-A13B-Instruct	61.2% ComplexNLU	61.2% Leaderboard	Same