PrismML Bonsai 2 Small - AIME26: leaderboard
PrismML’s comparison of small Bonsai 2 and Qwen3.5 models on AIME 2026 competition mathematics, averaging eight answers per problem. Models use thinking with the same evaluation harness and sampling settings; the published scores are percentages.
Metric: Mean accuracy avg@8 (%). Source: raw.githubusercontent.com. Saturation forecast: Around January 2027. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 9B | 86.67 | #387 |
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-aime26 · How It Works · Data refreshed daily, snapshot 2026-10-29.