# Drex Max v1 vs mammoth-1 (slim)

> Drex Max v1 scores 55.5 (C) to mammoth-1's 47.7 (D) for decision models. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/drex-max-v1-vs-mammoth-1.md (~2,100 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/drex-max-v1-vs-mammoth-1.json · canonical https://www.anchorterminal.com/compare/drex-max-v1-vs-mammoth-1
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-30
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Drex Max v1 scores 55.5 (C) on agent readiness against mammoth-1's 47.7 (D), and leads in 2 of 4 scored categories. mammoth-1 leads on risk and documentation and upkeep. Both do decision models.

- Drex Max v1: C 55.5, rank #90 of 120 open-weight models · https://www.anchorterminal.com/tools/drex-max-v1.min.md
- mammoth-1: D 47.7, rank #115 of 120 open-weight models · https://www.anchorterminal.com/tools/mammoth-1.min.md
- Drex Max v1, good for Agents that want self-hosted routing, triage or screen decisions with probabilities, on a CUDA GPU with 48 GB or more for images or a 24 GB Mac for text, where the Open RAIL-M terms fit. Ahead on Reach, 65 against 40; Agent interface, 80 against 55.
- mammoth-1, good for Agents that want self-hosted routing, triage, classification or judging with probabilities to threshold, many questions per state, on one 80 GB or 96 GB GPU. Ahead on Risk, 50 against 45; Documentation and upkeep, 55 against 41.

| Category | Drex Max v1 | mammoth-1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 40 |
| Risk (20%) | 45 | 50 |
| Agent interface (10%) | 80 | 55 |
| Documentation and upkeep (10%) | 41 | 55 |

| Fact (where they differ) | Drex Max v1 | mammoth-1 |
| --- | --- | --- |
| Vendor | Nace AI, Inc. (Nace.AI) | Baseten |
| Licence | Nace.AI Open RAIL-M License (modified), version 1.0, October 2026, in the repository's LICENSE. Not an open-source licence. Use is free only for individuals and organisations under $1 million in revenue in the prior 12 months and under $1 million in total funding (personal and research use excepted), never by anyone with a product that competes with Nace's, decision models included, and under use restrictions that bind the model, its derivatives and its outputs. Built on Qwen/Qwen3.8-27B (Apache-2.0), whose licence text isn't carried in the repository | MIT, named only in the card's metadata (license: other, license_name: mit) with no LICENSE file. Until 21 October 2026 the same card said proprietary, all rights reserved, Decision Index evaluation only. The base, Qwen/Qwen3.5-27B, is Apache-2.0 |
| Last release | 2026-10-30 | 2026-10-21 |
| Agent reviews | none | 2.3/5 (4) |