Ternary Bonsai 2 27B
- Input
- —
- Output
- —
- Speed
- ~84tok/sest.
- Context
- 262Ktokens
Open weights (Apache-2.0). Ternary g128 quantization of Qwen3.8-27B; PTQ1_0 GGUF is 5.95 GB (PQ2_0 7.21 GB). Scores are for the quantized weights.
Rankings
Coding
Lab-reported#13 / 114rank by quality71.8±10.3quality / 1001/7 benchmarks measuredWriting & chat
Lab-reported#21 / 155rank by quality76.9±9.7quality / 1001/5 benchmarks measuredVision
Lab-reported#20 / 90rank by quality69.0±8.7quality / 1001/6 benchmarks measuredHard reasoning
Lab-reported#28 / 193rank by quality74.4±9.9quality / 1001/4 benchmarks measured
Self-hostingEstimated
How we estimate →What it would cost to run these open weights yourself on rented GPUs. No API sells this model, so this is its price on the chart.
- Hardware
- 1× B200 180GB
- ternary (PrismML PTQ1_0) weights
- Throughput
- ~6,364 tok/s
- many requests batched
- Price
- $0.13–1.16 /M tok
- busy → light use
- On your own machine
- RTX 5090 32GB (ternary (PrismML PTQ1_0), ~210 tok/s single-stream)
- single consumer GPU or Mac
Assumptions (5)
- TERNARY (PRISMML PTQ1_0) weights (27.36B params) + 25% KV-cache headroom ≈ 7 GB
- 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
- ~6,364 output tok/s aggregate at batch 182 (bandwidth-bound)
- Blended 3:1 input:output; prefill ~38,857 tok/s
- Low = 75% utilization at the low GPU price; high = 20% at the high price
Benchmark scores
~ italic, dashed = no published score yet, estimated from related benchmarks.
Coding
SWE-bench VerifiedEstimated
~#3 of 14 (estimated)~82.8%
- #1Claude Opus 596.0%
- #2Claude Sonnet 585.2%
- ~#3Ternary Bonsai 2 27BEstimated82.8%
- #3Gemini 3.1 Pro80.6%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#5 of 19 (estimated)~68.7%
- #1Claude Opus 5.589.9%
- #2Claude Sonnet 5.581.3%
- #4Claude Opus 579.2%
- ~#5Ternary Bonsai 2 27BEstimated68.7%
- #5Intern-S2-397B68.5%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#25 of 32 (estimated)~57.4%
- #1GPT-6.1 Sol75.2%
- #2DeepSeek V4.1 Flash74.2%
- #24Qwen3.8-Omni-Flash57.8%
- ~#25Ternary Bonsai 2 27BEstimated57.4%
- #25DeepSeek V4 Pro (0813)57.2%
No published score — estimated from related benchmarks
Terminal-Bench 4.0Estimated
~#15 of 85 (estimated)~29.6%
- #1Claude Sonnet 5.563.6%
- #2Claude Opus 5.559.6%
- #14GLM-5.3 Flash32.8%
- ~#15Ternary Bonsai 2 27BEstimated29.6%
- #15DeepSeek V4.1 Flash26.8%
No published score — estimated from related benchmarks
LiveCodeBenchLab-reported
#4 of 2490.1%
- #1Qwen3.8-Omni-Flash92.6%
- #2Qwen3.8 Flash-Next91.9%
- #3Qwen3.8 27B90.3%
- #4Ternary Bonsai 2 27B90.1%
- #5Nemotron 3 Ultra89.0%
huggingface.co · 2026-09-29
SciCodeEstimated
~#17 of 103 (estimated)~56.1%
- #1Claude Opus 5.566.9%
- #2Claude Fable 5.163.1%
- #16Claude Opus 556.4%
- ~#17Ternary Bonsai 2 27BEstimated56.1%
- #17DeepSeek V4.1 Flash NVFP455.8%
No published score — estimated from related benchmarks
AA Coding Agent IndexEstimated
~#5 of 15 (estimated)~59.5
- #1Claude Opus 5.566.0
- #2Claude Fable 5.162.2
- #4Claude Opus 559.7
- ~#5Ternary Bonsai 2 27BEstimated59.5
- #5GPT-6 Sol56.7
No published score — estimated from related benchmarks
Writing & chat
IFBenchLab-reported
#23 of 13374.0%
- #1MiniMax-M382.9%
- #2Qwen3.8 2.4T A95B82.8%
- #22GPT-5.3 Codex75.4%
- #23Ternary Bonsai 2 27B74.0%
- #24Command A+73.9%
huggingface.co · 2026-09-29
LMArena Text, Non-English (Elo)Estimated
~#16 of 54 (estimated)~1454 Elo
- #1Claude Opus 5.51501
- #2Claude Fable 5.1Few votes1496
- #15GPT-5.6 Terra1456
- ~#16Ternary Bonsai 2 27BEstimated1454
- #16DeepSeek V4 Pro (0813)1448
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#16 of 54 (estimated)~1465 Elo
- #1Claude Opus 5.51509
- #2Claude Fable 5.11501
- #15GPT-5.6 Terra1466
- ~#16Ternary Bonsai 2 27BEstimated1465
- #16DeepSeek V4 Pro (0813)1463
No published score — estimated from related benchmarks
EQ-Bench Creative Writing v3 (Elo)Estimated
~#9 of 26 (estimated)~1983 Elo
- #1GPT-6 Astra2173
- #2Claude Fable 5.12162
- #8Grok 4.72007
- ~#9Ternary Bonsai 2 27BEstimated1983
- #9Muse Spark 1.31906
No published score — estimated from related benchmarks
Vision
MMMU-ProLab-reported
#31 of 8475.5%
- #1Claude Opus 5.587.7%
- #2GPT-6 Astra86.9%
- #30GPT-6 Luna75.5%
- #31Ternary Bonsai 2 27B75.5%
- #32MiMo-V2.575.4%
huggingface.co · 2026-09-29
CharXiv ReasoningEstimated
~#5 of 9 (estimated)~81.2%
- #1Gemini 3.8 Flash86.2%
- #2Kimi K384.8%
- #4Qwen3.8-Omni-Flash83.5%
- ~#5Ternary Bonsai 2 27BEstimated81.2%
- #5Muse Glimmer78.8%
No published score — estimated from related benchmarks
OmniDocBench v1.5Estimated
~#4 of 8 (estimated)~87.3%
- #1MiniMax-M391.6%
- #2Kimi K391.1%
- #2Qwen3.8 27B91.1%
- ~#4Ternary Bonsai 2 27BEstimated87.3%
- #4Gemini 3.1 Pro85.3%
No published score — estimated from related benchmarks
GDP.pdf (AA)Estimated
~#16 of 43 (estimated)~17.8%
- #1GPT-6 Astra31.0%
- #2Muse Spark 1.326.6%
- #15Gemini 3.1 Pro17.8%
- ~#16Ternary Bonsai 2 27BEstimated17.8%
- #16Grok 4.617.2%
No published score — estimated from related benchmarks
ChartographyEstimated
~#8 of 23 (estimated)~29.7%
- #1GPT-6 Astra71.0%
- #2Claude Opus 5.566.3%
- #7GPT-5.531.0%
- ~#8Ternary Bonsai 2 27BEstimated29.7%
- #8GPT-6 Luna29.1%
No published score — estimated from related benchmarks
Hard reasoning
GPQA DiamondEstimated
~#37 of 180 (estimated)~88.5%
- #1GPT-6 Astra96.1%
- #2Gemini 3.8 Flash95.3%
- #36Solar Pro 489.1%
- ~#37Ternary Bonsai 2 27BEstimated88.5%
- #37Qwen3.8 27B NVFP488.0%
No published score — estimated from related benchmarks
Humanity's Last ExamEstimated
~#37 of 182 (estimated)~34.0%
- #1Claude Opus 5.561.4%
- #2Claude Fable 5.159.1%
- #36Apodex 1.134.1%
- ~#37Ternary Bonsai 2 27BEstimated34.0%
- #37Qwen3.8 27B33.9%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#22 of 78 (estimated)~39.1
- #1Claude Opus 5.557.6
- #2Claude Sonnet 5.556.0
- #21DeepSeek V4.1 Flash39.5
- ~#22Ternary Bonsai 2 27BEstimated39.1
- #22GPT-5.538.4
No published score — estimated from related benchmarks