mammoth-1
No tracked provider pricing is available yet.
About
mammoth-1 is a 27B open-weight decision model from Base Labs, Baseten's research lab, released October 21, 2026. It is a full fine-tune of Qwen3.5-27B that returns a probability for each predefined option instead of generating text, answering choice, yes/no and score questions for classification, routing and scoring. Block-bidirectional attention in the full-attention layers lets each question see its options, and one shared-prefix prefill serves every question in a request. It was trained on 6.21M decision examples with text-only input. Weights are on Hugging Face at baselabs/mammoth-1 under MIT.
Providers(2)
Compare all 2Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Baseten API | - | - | ServerlessProvisionedPartial |
| Vercel AI Gateway | - | - | ServerlessPartial |
Capabilities
Benchmark peer barsfor Agents
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(1)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| 68.9 | 0.4.1Observed 2026-10-21 | — |
Migration checks
No linked migration route is available for this model yet.
API versions
mammoth-1decision-models/baseten-mammoth-27b-latestbaseten/mammoth-1baselabs/mammoth-1Mammoth-1No tracked provider pricing is available yet.