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#442

Mammoth 1

Baseten Release: 2026-10-24 Tested on: 2026-10-24 15:07 baseten/mammoth-1::none
27BDenseOpen source

Summary

Mammoth 1 scores 2.2 on AI BENCHY and ranks #442. It has 8.9 reliability, a 18.8% pass rate, $0.000 total cost, and 1.80s average response time.

What makes Mammoth 1 unique: It stands out most in Coding, where it ranks #1, while Data parsing and extraction is its weakest area at #13. Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-10-24

Reported
Parameters
27B
Architecture
Dense
Availability
Open source
License
MIT

Official MIT weights and pinned serving implementation are published. Base Labs identifies a 27B Qwen3.5-27B fine-tune with block-bidirectional full-attention layers and a frozen vision encoder. Dense here means no mixture of experts; the hybrid recurrent/attention backbone is preserved. The exact OpenRouter route accepts text states and returns typed decisions, with no free-form generation or reasoning controls. BaseTen publishes no prompt training and no retention. The current free promotional route is $0/$0; the vendor free week ends October 27 at 23:59 Pacific. Decision output is evaluated with compatible adapted general tests and the five dedicated decision tests. Free-form showcases do not apply.

Score

2.2

Consistency

4.2

Total Output Tokens

54

Total Input Tokens

45,468

Input Price

$0.000 / 1M

Output Price

$0.000 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 9

Attempt pass rate: 18.8%

Benchmark coverage: 36/69 attempts. Choices supplied by adapters. Supports 12/23 tests. Other tests are unsupported, not failed. Score uses the full suite.

Flaky tests

3

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

1.80s

Response Time (max): 8.17s

Response Time (total): 21.63s

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 0.0 0.0
Anti-AI Tricks 4.0 7.5
Coding 4.9 6.7
Combined 0.0 0.0
Data parsing and extraction 3.7 1.7
Domain specific 5.3 10.0
General Intelligence 0.0 0.0
Instructions following 1.5 5.0
Puzzle Solving 1.6 1.0
Tool Calling 0.0 0.0
Trivia 0.0 0.0

Compared models