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#96

Particle-1

Particle AI Release: 2026-10-28 Tested on: 2026-11-10 00:47 particle-ai/particle-1::medium
~748B total (~16B active)MoEClosedEstimated

Summary

Particle-1 scores 8.6 on AI BENCHY and ranks #96. It has 9.7 reliability, a 73.9% pass rate, $0.217 total cost, and 32.30s average response time.

Model facts

Researched on 2026-11-09

Estimated
Parameters
~748B total (~16B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Particle AI describes Particle-1 as a token-efficient coding model post-trained on DeepSeek V4.1 Flash; no weights are released. Counts are inherited from the MIT DeepSeek V4.1 Flash base (748B total / 16B active); the open base does not make this API checkpoint open.

Score

8.6

Consistency

8.2

Total Output Tokens

406,465

Total Input Tokens

263,837

Input Price

$0.050 / 1M

Output Price

$0.500 / 1M

Cache Read Price

$0.003 / 1M

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: 73.9%

Flaky tests

5

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

Response Time (avg)

32.30s

Response Time (max): 276.96s

Response Time (total): 742.97s

Hamster playing table tennis

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

#96 Particle-1

medium
Cost
$0.006
Time
42.2s
Tokens
10,219 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 10.0 10.0
Anti-AI Tricks 8.3 10.0
Coding 8.2 7.2
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 4.1 4.4
General Intelligence 6.5 3.4
Instructions following 10.0 10.0
Puzzle Solving 5.7 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models