Ternary Bonsai 2 27B: benchmark results

PrismML released ternary derivative of Qwen3.8-27B under Apache2.0; distinct from Qwen and prior Bonsai generation. Effort/harness suffixes are preserved as exact evaluation configurations. Current released weight revision is not asserted to be the unpublished exact evaluation revision. Approximate27.36B multimodal total explicitly stated by technical report Table1 and official model card; Hub GGUF total26895998464 counts language tensors only. Launch prose27.8B is superseded by the consistent technical specification, not used as exact tensor count. Provider: PrismML. Released 2026-09-17. Access: Open.

Aggregate Rating 1702 ± 28, rank #338 of 10916 rated models, from 48 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
PrismML Bonsai 2 27B - Medium - IFBench55.33Prompt-level strict accuracy (%)100
PrismML Bonsai 2 27B - XHigh - AIME2695.83Mean accuracy avg@8 (%)100
PrismML Bonsai 2 27B - XHigh - IFBench74Prompt-level strict accuracy (%)100
PrismML Bonsai 2 27B - XHigh - LiveCodeBench v690.07Pass@1 (%)100
ReasonScape R12901.1ReasonScore78.7
PrismML Bonsai 2 27B - XHigh - AA-LCR77Accuracy (%)66.7
PrismML Bonsai 2 27B - XHigh - AIME2595Mean accuracy avg@8 (%)66.7
PrismML Bonsai 2 27B - XHigh - GSM8K96.66Numeric-equivalence accuracy (%)66.7
PrismML Bonsai 2 27B - XHigh - HumanEval+95.12Pass@1 (%)66.7
PrismML Bonsai 2 27B - XHigh - IFEval91.31Prompt-level strict accuracy (%)66.7
PrismML Bonsai 2 27B - XHigh - OmniDocBench v1.689.13Overall document-parsing composite (%)66.7
BenchLM53.8Overall Score60.6

Interactive version: theaggregate.ai/model?slug=ternary-bonsai-2-27b · How It Works · Data refreshed daily, snapshot 2026-11-08.