Nejumi 4 - BFCL - Irrelevance Detection: leaderboard

Berkeley Function Calling Leaderboard as adapted and sampled by Nejumi Leaderboard 4 (Weights & Biases Japan): accuracy at declining to call any function when none is relevant. Accuracy (%), higher is better; the overall accuracy is Nejumi 4 - GLP - Function Calling.

Metric: Accuracy (%). Source: nejumi.ai. 145 models tracked.

Top models

#ModelScoreOverall rank
1Llama 4 Scout100#648
2Gemini 2.5 Flash96.67#255
3Phi-496#707
4gemma-4-E4B-it95#577
5DeepSeek V3.2 (Thinking)95#210 (DeepSeek V3.2)
6Gemma 4 E2B (IT)95#779
7GPT-4.193.33#258
8Grok 3 Mini93.33#289
9GPT-5 (2025-08-07) (High)93.33
10GPT-5 Nano (2025-08-07) (High)93.33
11GPT-5.4 (2026-03-05) (xHigh)93.33#63 (GPT-5.4 (2026-03-05))
12llm-jp-4-32B-a3B-Thinking93.33#477
13GPT-5.1 (2025-11-13) (High)93.33#107 (GPT-5.1 (2025-11-13))
14GPT-OSS-Swallow-120B-RL-v0.1 (Thinking)93.33#309 (GPT-OSS-Swallow-120B-RL-v0.1)
15llm-jp-4.1-33B (High)93.33#256 (llm-jp-4.1-33B)

Interactive version: theaggregate.ai/benchmark?slug=nejumi-4-bfcl-irrelevance-detection · How It Works · Data refreshed daily, snapshot 2026-11-05.