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Llama-3.3 Nemotron Super 49B v1 vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 12.6.

NVIDIA · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 12.6, ranking #133 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 Llama-3.3 Nemotron Super 49B v1

  • you need open weights you can self-host or fine-tune

Choose Particle-1

  • overall performance matters — it scores 31.9 and ranks #133 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.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
Particle-1
Particle AI
Core performance indexes
LLM Stats Score
12.6
#282
31.9
#133
Reasoning
12.7
#273
31.2
#135
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

7 reported for Llama-3.3 Nemotron Super 49B v1 · 3 for Particle-1

1 shared

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).

Particle-1 significantly outperforms across most benchmarks.

Sat Oct 31 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
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Sat Oct 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Particle-1 supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

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

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Llama-3.3 Nemotron Super 49B v1 is licensed under Llama 3.1 Community License, while Particle-1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Particle-1 was released on 2026-10-28.

Particle-1 is 20 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.6 years ago

Particle-1

Oct 28, 2026

1 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Particle-1's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without Particle-1's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Particle-1

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and Particle-1 side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Particle-1.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 12.6. Llama-3.3 Nemotron Super 49B v1 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 Llama-3.3 Nemotron Super 49B v1 compare to Particle-1 in benchmarks?

Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and Particle-1?

Llama-3.3 Nemotron Super 49B v1 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 Llama-3.3 Nemotron Super 49B v1 and Particle-1?

Key differences include LLM Stats Score (12.6 vs 31.9), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama-3.3 Nemotron Super 49B v1 and Particle-1?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Particle-1 is developed by Particle AI.

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