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Grok-4.1 Thinking vs Llama 3.1 Nemotron 70B Instruct

Grok-4.1 Thinking leads the LLM Stats Score 16.0 to 0.4.

xAI · NVIDIA · Updated for 2026

Which is better?

Grok-4.1 Thinking leads the overall LLM Stats Score 16.0 to 0.4, ranking #231 overall.

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

Choose Grok-4.1 Thinking

  • overall performance matters — it scores 16.0 and ranks #231 on LLM Stats
  • you want the most recent training data — it shipped Nov 2025

Choose Llama 3.1 Nemotron 70B Instruct

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

At a glance

The differences that matter most.

Grok-4.1 Thinking
xAI
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
16.0
#231
0.4
#330
Cost, coverage & limits
Benchmark wins
—
—
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
256,000
—

Individual benchmarks

11 reported for Grok-4.1 Thinking · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

Grok-4.1 Thinking and Llama 3.1 Nemotron 70B Instructdon'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-4.1 Thinking specifies input context (256,000 tokens). Only Grok-4.1 Thinking specifies output context (8,000 tokens).

xAI
Grok-4.1 Thinking
Input256,000 tokens
Output8,000 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok-4.1 Thinking supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

Grok-4.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-4.1 Thinking

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-4.1 Thinking is licensed under a proprietary license, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

Grok-4.1 Thinking

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Grok-4.1 Thinking was released on 2025-11-17, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

Grok-4.1 Thinking is 14 months newer than Llama 3.1 Nemotron 70B Instruct.

Grok-4.1 Thinking

Nov 17, 2025

10 months ago

1.1yr newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Grok-4.1 Thinking's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without Grok-4.1 Thinking's cutoff date.

Grok-4.1 Thinking

—

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok-4.1 Thinking and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

Grok-4.1 Thinking
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about Grok-4.1 Thinking vs Llama 3.1 Nemotron 70B Instruct.

Which is better, Grok-4.1 Thinking or Llama 3.1 Nemotron 70B Instruct?

Grok-4.1 Thinking leads the LLM Stats Score 16.0 to 0.4. Grok-4.1 Thinking is made by xAI and Llama 3.1 Nemotron 70B Instruct 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-4.1 Thinking compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

Grok-4.1 Thinking scores Creative Writing v3: 86.1%, WMDP: 84.0%, EQ-Bench: 79.3%, ProtocolQA: 79.0%, LMArena Text Leaderboard: 74.2%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for Grok-4.1 Thinking and Llama 3.1 Nemotron 70B Instruct?

Grok-4.1 Thinking supports 256K tokens and Llama 3.1 Nemotron 70B Instruct 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-4.1 Thinking and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (16.0 vs 0.4), 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-4.1 Thinking and Llama 3.1 Nemotron 70B Instruct?

Grok-4.1 Thinking is developed by xAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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