PrismML Bonsai 2 Small - BFCL v3: leaderboard
PrismML’s comparison of small Bonsai 2 and Qwen3.5 models on function calling across 17 Berkeley benchmark subsets, including multi-turn tasks. Models use thinking with the same evaluation harness and sampling settings; the published scores are percentages.
Metric: Sample-weighted accuracy (%). Source: raw.githubusercontent.com. Saturation forecast: Around January 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 9B | 73.81 | #387 |
| 2 | Qwen 3.5 4B | 71.52 | #496 |
| 3 | Qwen 3.5 2B | 62.06 | #1146 |
| 4 | Qwen 3.5 0.8B | 47.92 | #1421 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=prismml-bonsai-2-small-bfcl-v3 · How It Works · Data refreshed daily, snapshot 2026-10-29.