SuperCLUE-Agent
Chinese language models are tested on agent skills in Chinese tasks. These include tool use with several API calls, task planning and memory over long dialogues.
The board is updated from time to time with more Chinese models. The repository has about 96 stars.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
GPT-4o leads with 78.4 among models released by Jun 2024
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in Jun 2024, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 GPT-4o May 2024 78.4
- 2 ERNIE-4-8k-latest 75.3
- 3 TeleChat2-Large 74.5
- 4
Qwen2-72B 74.0
- 5 TeleChat2 73.7
- 6 GLM-4-9B-Chat 69.6
- 7 GPT-3.5 Turbo Jan 2024 65.4
- 8 Baichuan-2-13B-Chat-v2 62.7
- 9
Yi-1.5-6B-Chat 62.2
- 10
Phi-3-mini-128k-instruct 55.3
- 11
Gemma 7B 51.3
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-4o May 2024 | 78.4 | May 2024 | Official leaderboard | |
| 2 | ERNIE-4-8k-latest | 75.3 | Oct 2024 | Official leaderboard | |
| 3 | TeleChat2-Large | 74.5 | Dec 2024 | Official leaderboard | |
| 4 | | 74.0 | Jun 2024 | Official leaderboard | |
| 5 | TeleChat2 | 73.7 | Oct 2024 | Official leaderboard | |
| 6 | GLM-4-9B-Chat | 69.6 | Jun 2024 | Official leaderboard | |
| 7 | GPT-3.5 Turbo Jan 2024 | 65.4 | Jan 2024 | Official leaderboard | |
| 8 | Baichuan-2-13B-Chat-v2 | 62.7 | Oct 2024 | Official leaderboard | |
| 9 | | 62.2 | May 2024 | Official leaderboard | |
| 10 | | 55.3 | Apr 2024 | Official leaderboard | |
| 11 | | 51.3 | Feb 2024 | Official leaderboard |
2 models have held number one since its release in Oct 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Tool use
- AutomationBench In use Agent completes end-to-end business workflows inside a simulated company exposing dozens of REST APIs. Graded on resulting state.
Gemini 4 Carbon 53.9%
- MCP Atlas In use Multi-step workflows over real MCP servers. Scores tool-use competency on realistic tasks.
Muse Spark 1.1 88.1%
- BFCL V4 In use Models call functions and tools, including multi-turn agentic tasks with web search and memory. Checked against expected calls and outcomes.
Qwen3.7-Max 75%
- τ³-bench Banking In use Agents act as banking customer-service reps over many turns with a simulated user, following policy. Pass^1 on the final database state.
Qwen 3.8 Max 55.1%
- Claw-Eval In use 300 human-verified agent tasks (service orchestration, multimodal, multi-turn dialogue) audited via traces and snapshots. Rubric scores with Pass^3 consistency. Claude Sonnet 4.6 81.4%
- DeepSearchQA In use Questions that need multi-step search and synthesis. Final answers graded against references. Kimi K3 95%