mammoth-1 on OpenRouter

Mammoth · Baseten

Serverless
Open Source

Last refreshed 2026-10-30. Next refresh: weekly.

Why use mammoth-1 on OpenRouter?

OpenRouter offers mammoth-1 with pay-as-you-go pricing at $0.10/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare mammoth-1 across 3 providers to find the best fit for your use case
Input / 1M
$0.10
Output / 1M
Free
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: baseten/mammoth-1
Model ID
baseten/mammoth-1

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID baseten/mammoth-1.

Gotchas

  • Use provider model ID "baseten/mammoth-1", not the LLMReference slug "mammoth-1".

Compare mammoth-1 Across Providers

ProviderInput (per 1M)Output (per 1M)
Baseten API$0.10Free
Vercel AI Gateway$0.10Free
OpenRouter$0.10Free

Pricing

TypePrice (per 1M)
Input tokens$0.10
Output tokensFree

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