Model Comparison

Grok-4 Heavy vs Llama 3.2 3B InstructWhich is better in 2026?

Grok-4 Heavy significantly outperforms across most benchmarks.

Verdict: Grok-4 Heavy vs Llama 3.2 3B Instruct — which is better?

Grok-4 Heavy (by xAI) and Llama 3.2 3B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Grok-4 Heavy outperforms in 1 benchmarks (GPQA), while Llama 3.2 3B Instruct is better at 0 benchmarks. Grok-4 Heavy significantly outperforms across most benchmarks.

Choose Grok-4 Heavy if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Llama 3.2 3B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Grok-4 Heavy outperforms in 1 benchmarks (GPQA), while Llama 3.2 3B Instruct is better at 0 benchmarks.

Grok-4 Heavy significantly outperforms across most benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

xAI
Grok-4 Heavy
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Jul 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-4 Heavy supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

Grok-4 Heavy can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-4 Heavy

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-4 Heavy is licensed under a proprietary license, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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

Grok-4 Heavy

Proprietary

Closed source

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Llama 3.2 3B Instruct was released on 2024-09-25, while Grok-4 Heavy's release date is not specified.

We can confirm Llama 3.2 3B Instruct's release timeline, but cannot make a direct age comparison without Grok-4 Heavy's release date.

Grok-4 Heavy

Llama 3.2 3B Instruct

Sep 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Grok-4 Heavy has a documented knowledge cutoff of 2024-12-31, while Llama 3.2 3B Instruct's cutoff date is not specified.

We can confirm Grok-4 Heavy's training data extends to 2024-12-31, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.

Grok-4 Heavy

Dec 2024

Llama 3.2 3B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Higher GPQA score (88.4% vs 32.8%)
Larger context window (128,000 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Grok-4 Heavy and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

Grok-4 Heavy
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground
AI Model Comparison Table
Feature
xAI
Grok-4 Heavy
Meta
Llama 3.2 3B Instruct

FAQ

Common questions about Grok-4 Heavy vs Llama 3.2 3B Instruct.

Which is better, Grok-4 Heavy or Llama 3.2 3B Instruct?

Grok-4 Heavy significantly outperforms across most benchmarks. Grok-4 Heavy is made by xAI and Llama 3.2 3B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Grok-4 Heavy compare to Llama 3.2 3B Instruct in benchmarks?

Grok-4 Heavy scores AIME 2025: 100.0%, HMMT25: 96.7%, GPQA: 88.4%, LiveCodeBench: 79.4%, USAMO25: 61.9%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

What are the context window sizes for Grok-4 Heavy and Llama 3.2 3B Instruct?

Grok-4 Heavy supports an unknown number of tokens and Llama 3.2 3B Instruct supports 128K 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 Heavy and Llama 3.2 3B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-4 Heavy and Llama 3.2 3B Instruct?

Grok-4 Heavy is developed by xAI and Llama 3.2 3B Instruct is developed by Meta.