C3-Bench
Hunyuan-A13B-Instruct 63.5% Dropped Agents complete multi-task tool use dialogues built to stress tool dependencies, long context dependencies and frequent switches between policy types.
The paper tests 49 agents.
Made by Tencent Hunyuan Released May 2025 Function calling All tasks public Last in a launch post Jun 2025 , dropped before it saturated
Last model added Jun 2025
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab
Hunyuan-A13B-Instruct leads with 63.5%
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.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Hunyuan-A13B-Instruct | 63.5% | Jun 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
No launch post has listed it since Jun 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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 27 Jun 2025 | Hunyuan-A13B-Instruct | 63.5 | C3-Bench |
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 |
|---|---|---|---|---|
| 26 Jun 2025 | Hunyuan-A13B-Instruct technical report | 63.5 | C3-Bench, slow-thinking (Table 3). Fast-thinking 65.4 (Table 4) | Capabilities |
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