mammoth-1 on Baseten API

Mammoth · Baseten

ServerlessProvisioned
Open Source

Last refreshed 2026-10-21. Next refresh: weekly.

Why use mammoth-1 on Baseten API?

Baseten API offers mammoth-1. Baseten is an AI infrastructure platform that provides comprehensive tools for deploying and serving machine learning models efficiently and cost-effectively.

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Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: decision-models/baseten-mammoth-27b-latest
Model ID
decision-models/baseten-mammoth-27b-latest

Request example

Curated snippets for this provider are not sourced yet. Use Baseten API documentation with model ID decision-models/baseten-mammoth-27b-latest.

Gotchas

  • Use provider model ID "decision-models/baseten-mammoth-27b-latest", not the LLMReference slug "mammoth-1".

Compare mammoth-1 Across Providers

ProviderInput (per 1M)Output (per 1M)
Baseten API——
Vercel AI Gateway——

Capabilities

Structured Outputs

About mammoth-1

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.

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Model Specs

Released2026-10-21
Parameters27B
Context16K