Nemotron 3 Nano (30B A3B) vs Particle-1
Particle-1 leads the LLM Stats Score 32.0 to 20.4. Nemotron 3 Nano (30B A3B) is 5.0x cheaper per token.
NVIDIA · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 32.0 to 20.4, ranking #135 overall.
In the 1 individual benchmarks reported for both models, Particle-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3 Nano (30B A3B) is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Particle-1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Nemotron 3 Nano (30B A3B)
- cost matters — it's about 5.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Particle-1
- overall performance matters — it scores 32.0 and ranks #135 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
15 reported for Nemotron 3 Nano (30B A3B) · 3 for Particle-1
Nemotron 3 Nano (30B A3B) outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).
Particle-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Nemotron 3 Nano (30B A3B) ($0.05/1M tokens) is 5.0x cheaper than Particle-1 ($0.25/1M tokens).
For output processing, Nemotron 3 Nano (30B A3B) ($0.20/1M tokens) is 5.0x cheaper than Particle-1 ($1.00/1M tokens).
In conclusion, Particle-1 is more expensive than Nemotron 3 Nano (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to Nemotron 3 Nano (30B A3B)'s 262,144 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Particle-1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron 3 Nano (30B A3B)
Particle-1
License
Usage and distribution terms
Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
NVIDIA Open Model License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while Particle-1 was released on 2026-10-28.
Particle-1 is 11 months newer than Nemotron 3 Nano (30B A3B).
Dec 15, 2025
10 months ago
Oct 28, 2026
1 weeks ago
10mo newerKnowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Particle-1's cutoff date is not specified.
We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without Particle-1's cutoff date.
Nov 2025
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Provider Availability
Nemotron 3 Nano (30B A3B) is available from DeepInfra. Particle-1 is available from Particle AI.
Nemotron 3 Nano (30B A3B)
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron 3 Nano (30B A3B) and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron 3 Nano (30B A3B) vs Particle-1.