Nejumi 4 - BFCL - Multi-Turn: leaderboard

Berkeley Function Calling Leaderboard as adapted and sampled by Nejumi Leaderboard 4 (Weights & Biases Japan): accuracy on the multi-turn base, missing-function and missing-parameter categories. Accuracy (%), higher is better; the overall accuracy is Nejumi 4 - GLP - Function Calling.

Metric: Accuracy (%). Source: nejumi.ai. Saturation forecast: Around August 2027. 145 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol (Max)66.67#22 (GPT-5.6 Sol)
2Claude Opus 4.5 (Thinking)66.67#87 (Claude Opus 4.5)
3Claude Opus 4.7 (xHigh)66.67#51 (Claude Opus 4.7)
4Claude Opus 4.1 (Thinking)66.67#146 (Claude Opus 4.1)
5Claude Opus 5 (Max)65.56#16 (Claude Opus 5)
6Claude Opus 4.5 (Non-reasoning)65.56#87 (Claude Opus 4.5)
7Claude Opus 4.6 (Thinking)64.44#67 (Claude Opus 4.6)
8Claude Opus 4.8 (xHigh)64.44#39 (Claude Opus 4.8)
9GPT-4o Mini (2024-07-18)61.67#568
10Claude Sonnet 4.6 (Thinking)61.11#94 (Claude Sonnet 4.6)
11MiniMax-M3 (Thinking)61.11#151 (MiniMax-M3)
12Claude Opus 4 (Non-reasoning)60#170 (Claude Opus 4)
13Claude 3.5 Sonnet58.89#362
14GPT-5.6 Luna (Max)58.89#79 (GPT-5.6 Luna)
15Grok 356.67#313

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

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