- Score
- 8.9 (+0.52 points)
- Total Cost (Current Price)
- $0.047 · 79.6% cheaper
- Response Time (avg)
- 5.30s · 83.0% faster
Particle AI
Release: 2026-10-28
Tested on: 2026-11-10 00:41
particle-ai/particle-1::minimal
~748B total (~16B active)MoEClosedEstimated
Summary
Particle-1 scores 8.4 on AI BENCHY and ranks #112. It has 9.7 reliability, a 73.9% pass rate, $0.231 total cost, and 31.19s average response time.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 8.6 (+0.22 points)
- Total Cost (Current Price)
- $0.061 · 73.7% cheaper
- Response Time (avg)
- 7.51s · 75.9% faster
- Score
- 9.4 (+1.00 points)
- Total Cost (Current Price)
- $0.183 · 20.8% cheaper
- Response Time (avg)
- 6.24s · 80.0% faster
Model facts
Researched on 2026-11-09
- 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.
8.4
Consistency
8.2
9.7
$0.231
Total Output Tokens
433,107
Total Input Tokens
269,321
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.
Flaky tests
5
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#112 Particle-1
minimal
OpenRouter returned no showcase content (finish_reason: length).
- Cost
- $0.033
- Time
- 248.1s
- Tokens
- 65,729 tok
Charts
Choose the first model, then click a second model to open a side-by-side page.
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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 | 7.3 | 5.8 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 2.9 | 7.2 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 9.9 | 10.0 | |
| Puzzle Solving | 6.9 | 4.9 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |