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Favicon for baseten

Baseten: Mammoth 1

baseten/mammoth-1

Model weights
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Mammoth 1 is a 27B decision model from Base Labs, Baseten's research team, built on Qwen3.5-27B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. It is TypeSafe System One compatible and suits classification, routing, and scoring where you need a scored answer instead of prose. Its smaller sibling is Elephant 1Opens in new tab.

Modalities
In / Out Price
$0.10 / $0per 1M
Context
16K
Released
Oct 21, 2026
Compare
PlaygroundProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQExplore

Playground

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. It runs on the OpenRouter Decisions API rather than the OpenAI-compatible chat endpoint, so the request and response shapes below are specific to structured decisions — chat completions SDKs will not work with it.

Not currently available through EU in-region routing. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with Baseten: Mammoth 1 on OpenRouter.

  • Decisions LabLab

Explore more models

Decision Model RankingsRanking
Latency
$0.10Free0.78s
--
Latency
0.78s

P50, best provider

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

1.
Favicon for https://mstr-algo-hub.replit.app/worker-selling
MSTR worker-selling
new
44Ktokens
2.
Favicon for https://mstr-algo-hub.replit.app/worker-awareness
MSTR worker-awareness
new
22Ktokens
3.
Favicon for https://mstr-algo-hub.replit.app/worker-hindsight
MSTR worker-hindsight
new
121tokens

Frequently asked questions

Mammoth 1 is a 27B decision model from Base Labs, Baseten's research team, built on Qwen3.5-27B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation.

The Mammoth 1 documentation on OpenRouter includes the interactive Decisions Lab. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Mammoth 1 costs $0.10/M input tokens and $0.00/M output tokens.

Mammoth 1 has a 16,384 token context window.

Mammoth 1 accepts text as input and returns structured decisions.

Elephant 1 is another text model from Baseten.

Mammoth 1 was released on October 21, 2026.

More models from Baseten

Elephant 1

Elephant 1 is a 9B decision model from Base Labs, Baseten's research team, built on Qwen3.5-9B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. It is TypeSafe System One compatible and suits routing, classification, and scoring where you need a scored answer instead of prose. Its larger sibling is Mammoth 1.

Decisions$0.035 / $0