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Grok 4.7 vs Llama 3.1 Nemotron Ultra 253B v1

Grok 4.7 leads the LLM Stats Score 48.5 to 19.1.

xAI · NVIDIA · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 19.1, ranking #23 overall.

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

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 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.

Grok 4.7
xAI
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
48.5
#23
19.1
#209
Reasoning
37.4
#69
18.8
#208
Coding
40.1
#13
12.4
#149
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000
—

Individual benchmarks

23 reported for Grok 4.7 · 6 for Llama 3.1 Nemotron Ultra 253B v1

No common benchmarks found

Grok 4.7 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

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.7

Text
Images
Audio
Video

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 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.

Grok 4.7

Proprietary

Closed source

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Grok 4.7 is 18 months newer than Llama 3.1 Nemotron Ultra 253B v1.

Grok 4.7

Sep 21, 2026

1 days ago

1.5yr newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a knowledge cutoff of 2026-06-01, while Llama 3.1 Nemotron Ultra 253B v1 has a cutoff of 2023-12-01.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron Ultra 253B v1 (2023-12-01).

Grok 4.7

Jun 2026

2.5 yr newer
Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about Grok 4.7 vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, Grok 4.7 or Llama 3.1 Nemotron Ultra 253B v1?

Grok 4.7 leads the LLM Stats Score 48.5 to 19.1. Grok 4.7 is made by xAI 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 Grok 4.7 compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. 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 Grok 4.7 and Llama 3.1 Nemotron Ultra 253B v1?

Grok 4.7 supports 500K 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 Grok 4.7 and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (48.5 vs 19.1), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Llama 3.1 Nemotron Ultra 253B v1?

Grok 4.7 is developed by xAI and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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