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Grok-1.5 vs Llama 3.2 11B Instruct

Grok-1.5 and Llama 3.2 11B Instruct are closely matched at -2.6 and -1.3 on the LLM Stats Score.

xAI · Meta · Updated for 2026

Which is better?

Grok-1.5 and Llama 3.2 11B Instruct are closely matched on the overall LLM Stats Score at -2.6 and -1.3.

In the 6 individual benchmarks reported for both models, Grok-1.5 wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose Grok-1.5

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results

Choose Llama 3.2 11B Instruct

  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-2.6
#339
-1.3
#333
-2.2
#329
-0.8
#324
Cost, coverage & limits
Benchmark wins
4 of 6
2 of 6
Input price
— / M
$0.05 / M
Output price
— / M
$0.05 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Grok-1.5
Llama 3.2 11B Instruct
4.9#276
1.8#294
-5.2#201
-0.3#182
-2.6#160
2.4#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Grok-1.5 · 11 for Llama 3.2 11B Instruct

6 shared

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.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.5 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

2.0 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok-1.5 and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Grok-1.5
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground

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 and Llama 3.2 11B Instruct are closely matched on the LLM Stats Score at -2.6 and -1.3. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (-2.6 vs -1.3), 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.