Benchmarks / Agentic

Toolathlon-Verified (HKUST NLP)

An agent completes 108 real-world tool-use tasks across 32 MCP servers and 7 local toolkits, and each task is graded by executing the resulting state against the task's ground truth. Maintained by HKUST NLP. Score: Pass@1 in percent, the mean over three runs (Verified series).

25models
–Open Index weight
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Toolathlon-Verified (HKUST NLP)

Higher is better · best effort per model

Chart settings
25 of 25 selected

full table below

#ModelEffortScoreCost / taskHarness
1GLM 5.3 Flashmax78.4%––
2Kimi K3max76.5%––
3Opus 4.8max76.2%––
4Muse Spark 1.2xhigh75.9%––
5Muse Spark 1.1xhigh75.6%––
6DeepSeek V4 Pro 0813max74.4%––
7GPT-5.5xhigh73.5%––
8Sonnet 5max71.6%––
9DeepSeek V4 Flash 0731max70.7%––
10Gemini 3.5 Flashhigh67.3%––
11Gemini 3.1 Prohigh61.1%––
12GLM 5.2max59.9%––
13Kimi K2.6max58.0%––
14Kimi K2.7 Codemax58.0%––
15Gemini 3.5 Flash-Litehigh57.1%––
16Hy3high56.8%––
17DeepSeek V4 Promax55.9%––
18Inkling Smallxhigh54.4%––
19DeepSeek V4 Flashmax50.9%––
20MiMo V2.5xhigh49.1%––
21MiniMax M2.7high47.5%––
22Inklingxhigh45.5%––
23Qwen 3.5 397B-A17Bmax40.7%––
24Nemotron 3 Ultra 550B A55Bmax34.3%––
25Kimi K2.5max33.0%––