Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) vs torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)
As of Oct 14, 2026, Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) leads torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) in 0 of 1 shared categories.
Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted)
#23 Best current rank: #23 in Decision models, as of Oct 14, 2026.
torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)
#8 Best current rank: #8 in Decision models, as of Oct 14, 2026.
| Category | Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) | torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) |
|---|---|---|
| Decision models | #23 · #23 in Decision models Margin 10.606060606060609 JevBench · Oct 8, 2026 | #8 · #8 in Decision models Margin 4.393939393939391 Jev Decision Index · Oct 14, 2026 |
Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted): price per 1M tokens is unset in the catalog.
torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune): price per 1M tokens is unset in the catalog.
Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted): open weights.
torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune): open weights.
Decision models: As of Oct 14, 2026, torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) leads Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) in Decision models at #8 against #23.
Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) · torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)
Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) or torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)?
As of Oct 14, 2026, Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) leads torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) in 0 of 1 shared categories.
Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) or torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) for Decision models?
As of Oct 14, 2026, torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) leads Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) in Decision models at #8 against #23.