Model Comparison

Grok-1.5 vs Llama 3.2 11B Instruct

Grok-1.5 shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Grok-1.5 outperforms in 4 benchmarks (GPQA, MathVista, MMLU, MMMU), while Llama 3.2 11B Instruct is better at 2 benchmarks (DocVQA, MATH).

Grok-1.5 shows notably better performance in the majority of benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Grok-1.5 does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-1.5

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Grok-1.5

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 6 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.1 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.6 years ago

6mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Grok-1.5's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Grok-1.5's cutoff date.

Grok-1.5

—

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

xAI
Higher GPQA score (35.9% vs 32.8%)
Higher MathVista score (52.8% vs 51.5%)
Higher MMLU score (81.3% vs 73.0%)
Higher MMMU score (53.6% vs 50.7%)
Meta
Larger context window (128,000 tokens)
Supports multimodal inputs
Has open weights
Higher DocVQA score (88.4% vs 85.6%)
Higher MATH score (51.9% vs 50.6%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Grok-1.5 vs Llama 3.2 11B Instruct.

Which is better, Grok-1.5 or Llama 3.2 11B Instruct?

Grok-1.5 shows notably better performance in the majority of benchmarks. Grok-1.5 is made by xAI and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Grok-1.5 compare to Llama 3.2 11B Instruct in benchmarks?

Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

What are the context window sizes for Grok-1.5 and Llama 3.2 11B Instruct?

Grok-1.5 supports an unknown number of tokens and Llama 3.2 11B 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-1.5 and Llama 3.2 11B Instruct?

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

Who makes Grok-1.5 and Llama 3.2 11B Instruct?

Grok-1.5 is developed by xAI and Llama 3.2 11B Instruct is developed by Meta.