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Nemotron Nano 9B v2 vs Particle-1

Particle-1 leads the LLM Stats Score 32.0 to 17.9.

NVIDIA · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 32.0 to 17.9, 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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Nemotron Nano 9B v2

  • 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 want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
17.9
#250
32.0
#135
16.7
#249
31.2
#137
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

6 reported for Nemotron Nano 9B v2 · 3 for Particle-1

1 shared

Nemotron Nano 9B v2 outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).

Particle-1 significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Particle-1 supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nemotron Nano 9B v2

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron Nano 9B v2 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.

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Nemotron Nano 9B v2 was released on 2025-08-18, while Particle-1 was released on 2026-10-28.

Particle-1 is 15 months newer than Nemotron Nano 9B v2.

Nemotron Nano 9B v2

Aug 18, 2025

1.2 years ago

Particle-1

Oct 28, 2026

5 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Particle-1's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without Particle-1's cutoff date.

Nemotron Nano 9B v2

Sep 2024

Particle-1

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Nemotron Nano 9B v2 and Particle-1 side-by-side, then vote on the output you prefer.

Nemotron Nano 9B v2
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Nemotron Nano 9B v2 vs Particle-1.

Which is better, Nemotron Nano 9B v2 or Particle-1?

Particle-1 leads the LLM Stats Score 32.0 to 17.9. Nemotron Nano 9B v2 is made by NVIDIA and Particle-1 is made by Particle AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron Nano 9B v2 compare to Particle-1 in benchmarks?

Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for Nemotron Nano 9B v2 and Particle-1?

Nemotron Nano 9B v2 supports an unknown number of tokens and Particle-1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron Nano 9B v2 and Particle-1?

Key differences include LLM Stats Score (17.9 vs 32.0), multimodal support (no vs yes), licensing (NVIDIA Open Model License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron Nano 9B v2 and Particle-1?

Nemotron Nano 9B v2 is developed by NVIDIA and Particle-1 is developed by Particle AI.