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Ember-1 vs Llama 3.1 Nemotron Ultra 253B v1

Ember-1 leads the LLM Stats Score 43.1 to 19.1.

Fireworks AI · NVIDIA · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 19.1, ranking #51 overall.

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

Choose Ember-1

  • overall performance matters — it scores 43.1 and ranks #51 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Llama 3.1 Nemotron Ultra 253B v1

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

At a glance

The differences that matter most.

Ember-1
Fireworks AI
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
43.1
#51
19.1
#222
Reasoning
38.6
#71
18.8
#221
Coding
37.0
#22
12.3
#159
Cost, coverage & limits
Benchmark wins
—
—
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,040,000
—

Individual benchmarks

4 reported for Ember-1 · 6 for Llama 3.1 Nemotron Ultra 253B v1

No common benchmarks found

Ember-1 and Llama 3.1 Nemotron Ultra 253B v1don'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

Model Size

Parameter count comparison

2527.0B diff

Ember-1 has 2527.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 998.8% larger.

Fireworks AI
Ember-1
2.8Tparameters
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
2780.0B
Ember-1
253.0B
Llama 3.1 Nemotron Ultra 253B v1

Context Window

Maximum input and output token capacity

Only Ember-1 specifies input context (1,040,000 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

License

Usage and distribution terms

Ember-1 is licensed under a proprietary license, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

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

Ember-1

Proprietary

Closed source

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Ember-1 is 18 months newer than Llama 3.1 Nemotron Ultra 253B v1.

Ember-1

Sep 23, 2026

2 weeks ago

1.5yr newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while Ember-1's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without Ember-1's cutoff date.

Ember-1

—

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about Ember-1 vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, Ember-1 or Llama 3.1 Nemotron Ultra 253B v1?

Ember-1 leads the LLM Stats Score 43.1 to 19.1. Ember-1 is made by Fireworks AI and Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for Ember-1 and Llama 3.1 Nemotron Ultra 253B v1?

Ember-1 supports 1.0M tokens and Llama 3.1 Nemotron Ultra 253B v1 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ember-1 and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (43.1 vs 19.1), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Llama 3.1 Nemotron Ultra 253B v1?

Ember-1 is developed by Fireworks AI and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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