Benchmarks / Agentic

Toolathlon, original release (HKUST NLP, archived board)

An agent completes 108 real-world tool-use tasks across MCP servers and local toolkits, graded by executing the resulting state against each task's ground truth — the original task definitions, before the June 2026 Verified repair. Maintained by HKUST NLP. Score: Pass@1 in percent as published on the archived pre-Verified board.

33models
–Open Index weight
–last updated

Toolathlon, original release (HKUST NLP, archived board)

Higher is better · best effort per model

Chart settings
33 of 33 selected

full table below

#ModelEffortScoreCost / taskHarness
1Gemini 3.5 Flashxhigh56.5%––
2DeepSeek V4 Promax52.8%––
3Opus 4.7max52.8%––
4Gemini 3 Flashhigh49.4%––
5Gemini 3.1 Prohigh48.8%––
6DeepSeek V4 Flashmax48.2%––
7Sonnet 4.6max44.8%––
8GPT-5.2xhigh43.8%––
9Opus 4.5high43.5%––
10MiniMax M2.1–40.7%––
11GLM 5high39.2%––
12Sonnet 4.5high38.9%––
13GPT-5high37.7%––
14Qwen 3.5 Plusnone37.7%––
15GPT-5.1high37.0%––
16Gemini 3 Prohigh36.4%––
17DeepSeek V3.2high35.2%––
18Sonnet 4high29.9%––
19Kimi K2.5max27.8%––
20Grok 4high27.5%––
21Haiku 4.5xhigh26.2%––
22GLM 4.7none23.8%––
23GLM 4.6none18.8%––
24Grok 4 Fastnone18.5%––
25Kimi K2medium17.6%––
26o3high17.0%––
27o4 minihigh14.8%––
28GPT-5 Minihigh14.5%––
29Qwen 3 Codermedium14.5%––
30Gemini 3.1 Flash-Litehigh14.2%––
31Kimi K2.0905–13.0%––
32Gemini 2.5 Prohigh10.5%––
33Gemini 2.5 Flashmedium3.7%––