The AI arena is free today

Open Superagent

Llama-3.3 Nemotron Super 49B v1 vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to 12.6.

NVIDIA · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 12.6, ranking #47 overall.

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 Muse Ember

  • overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
Muse Ember
Meta
Core performance indexes
LLM Stats Score
12.6
#293
45.9
#47
Reasoning
12.7
#282
48.1
#24
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
—
1,048,576

Individual benchmarks

7 reported for Llama-3.3 Nemotron Super 49B v1 · 6 for Muse Ember

No common benchmarks found

Llama-3.3 Nemotron Super 49B v1 and Muse Emberdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Ember specifies input context (1,048,576 tokens). Only Muse Ember specifies output context (524,288 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Sat Nov 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Muse Ember 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

Muse Ember

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 Muse Ember 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

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Muse Ember was released on 2026-11-09.

Muse Ember is 20 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.7 years ago

Muse Ember

Nov 9, 2026

4 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 Muse Ember'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 Muse Ember's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Muse Ember

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Muse Ember.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Muse Ember?

Muse Ember leads the LLM Stats Score 45.9 to 12.6. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and Muse Ember is made by Meta. 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 Muse Ember 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%. Muse Ember scores PerceptionBench: 80.6%, OSWorld 2.1 (partial): 69.5%, Agents' Last Exam: 61.6%, Personal Superintelligence Index: 46.8%, Terminal-Bench 4.0: 40.9%.

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

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Muse Ember 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 Muse Ember?

Key differences include LLM Stats Score (12.6 vs 45.9), 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 Muse Ember?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Muse Ember is developed by Meta.

Related comparisons