Chinese Tool-Use Benchmark
Models pick and call plugins in ReAct format for Chinese prompts. Scores are tool selection accuracy, Rouge-L on tool inputs, and false positive rate.
Qwen replaced version 20230803 with version 20231206, so scores from the two versions differ.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
2 models share the top score of 98% among models released by Feb 2024
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.
The newest model with a score here came out in Feb 2024, and nobody has reported 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
Qwen-14B 98%
- 2
Qwen-7B 98%
- 3
Qwen1.5-72B 95.1%
- 4 Qwen-1_8B 92%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 98% | Sep 2023 | Model card | |
| 2 | | 98% | Sep 2023 | Model card | |
| 3 | | 95.1% | Feb 2024 | Model card | |
| 4 | Qwen-1_8B | 92% | Sep 2023 | Model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Sep 2023
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs dropped it from launch posts once the best score passed 85%
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 |
|---|---|---|---|
| 5 Feb 2024 | 95.1 | Tool-Use Benchmark (Tool Selection Acc.) | |
| 25 Sep 2023 | 98 | Chinese Tool-Use Benchmark (ReAct), Tool Selection Acc. |
3 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| 28 Sep 2023 | | 98 | In-house Chinese ReAct tool-use benchmark, Tool Selection (Acc.). Tool Input Rouge-L 91, False Positive Error 7.3% (Table 6) | Capabilities |
| 28 Sep 2023 | | 98 | In-house Chinese ReAct tool-use benchmark, Tool Selection (Acc.). Tool Input Rouge-L 93, False Positive Error 2.4% (Table 6) | Capabilities |
| 28 Sep 2023 | | 92 | In-house Chinese ReAct tool-use benchmark, Tool Selection (Acc.). Tool Input Rouge-L 89, False Positive Error 19.3% (Table 6) | Capabilities |
More in Tool use
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- 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%