KAware: leaderboard

KAware (2026) tests the self-awareness of tool-using LLM agents: whether an agent knows which external tools a task needs and then calls exactly those, across tasks that need tools, mix tools with parametric knowledge, or need no tools at all. The score is the task-weighted knowing-acting score, the harmonic mean of the two tool-set overlaps, in percent; higher is better.

Metric: Average knowing-acting score (%, KAS): harmonic mean of knowing accuracy (Jaccard overlap between the tools the agent says the task needs and the gold tool set) and acting accuracy (Jaccard overlap between the tools it actually calls and the gold set), task-weighted over the three settings, on the KAware tool-use tasks, where tools are always available but the task may need them (external function, 310 tasks), mix them with parametric knowledge (hybrid composition, 368 tasks) or be solvable from knowledge alone (internal function, 398 tasks); higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 18 models tracked.

Top models

#ModelScoreOverall rank
1GPT-569.73#167
2GPT-5.565.55#49
3O4 Mini (2025-04-16)64.15#365
4Gemini 3 Pro (Preview)62.9#113
5Qwen 3.5 397B A17B56.92#246
6Qwen 3.5 397B A17B (Non-reasoning)55.72#246 (Qwen 3.5 397B A17B)
7GPT-4.154.75#495
8Gemini 3 Flash (Preview)53.61#144
9DeepSeek V4 Flash (Non-reasoning)53.4#258 (DeepSeek V4 Flash)
10Claude Sonnet 4.553.34#250
11GPT-4o (2024-11-20)53.1#866
12Qwen 3 Max (Preview)51.99#447
13DeepSeek R1 052849.8#428
14DeepSeek V3.2 (Non-reasoning)49.14#406 (DeepSeek V3.2)
15Qwen 3 235B A22B 2507 Instruct42.43#619

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=kaware · How It Works · Data refreshed daily, snapshot 2026-11-13.