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#351

Dots 3 Note Preview

Dots Studio Release: 2026-08-14 Tested on: 2026-10-01 04:19 dots-studio/dots-3-note-preview::medium
280B total (16B active)MoEOpen source

Summary

Dots 3 Note Preview scores 5.7 on AI BENCHY and ranks #351. It has 10.0 reliability, a 58.0% pass rate, $0.000 total cost, and 70.32s average response time.

What makes Dots 3 Note Preview unique: It stands out most in Combined, where it ranks #1, while Data parsing and extraction is its weakest area at #16. Its total benchmark cost is unusually low for its score range. It uses unusually many reasoning tokens, which can help explain its slower or more expensive runs.

Model facts

Researched on 2026-08-15

Reported
Parameters
280B total (16B active)
Architecture
MoE
Availability
Open source
License
Apache-2.0

The official model card publishes both weights and implementation code.

Score

5.7

Consistency

6.9

Total Output Tokens

661,931

Total Input Tokens

208,598

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: 15

Attempt pass rate: 58.0%

Flaky tests

9

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

Response Time (avg)

70.32s

Response Time (max): 459.19s

Response Time (total): 1617.43s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#351 Dots 3 Note Preview

medium
Cost
$0.000
Time
585.4s
Tokens
12,198 tok

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 4.7 1.6
Anti-AI Tricks 8.7 7.9
Coding 4.2 5.1
Combined 9.9 10.0
Data parsing and extraction 4.5 1.4
Domain specific 3.6 7.2
General Intelligence 3.8 9.5
Instructions following 8.5 6.8
Puzzle Solving 5.3 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models