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Grok-1.5 vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct leads the LLM Stats Score 5.2 to -2.6.

xAI · Meta · Updated for 2026

Which is better?

Llama 3.2 90B Instruct leads the overall LLM Stats Score 5.2 to -2.6, ranking #305 overall.

In the 6 individual benchmarks reported for both models, Llama 3.2 90B Instruct wins 6; 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 are already invested in the xAI ecosystem

Choose Llama 3.2 90B Instruct

  • overall performance matters — it scores 5.2 and ranks #305 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 6 exact shared results
  • 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.

Grok-1.5
xAI
Llama 3.2 90B Instruct
Meta
Core performance indexes
LLM Stats Score
-2.6
#348
5.2
#305
Reasoning
-2.2
#338
6.7
#293
Cost, coverage & limits
Benchmark wins
0 of 6
6 of 6
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / 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 90B Instruct
Math
4.9#279
11.6#240
Vision
-5.2#208
2.8#172
Multimodal
-2.6#167
5.6#143
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Grok-1.5 · 13 for Llama 3.2 90B Instruct

6 shared

Grok-1.5 outperforms in 0 benchmarks, while Llama 3.2 90B Instruct is better at 6 benchmarks (DocVQA, GPQA, MATH, MathVista, MMLU, MMMU).

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

Fri Oct 02 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 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 3.2 90B Instruct supports multimodal inputs, whereas Grok-1.5 does not.

Llama 3.2 90B 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 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.

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 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Llama 3.2 90B Instruct was released on 2024-09-25.

Llama 3.2 90B Instruct is 6 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.5 years ago

Llama 3.2 90B Instruct

Sep 25, 2024

2.0 years ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Grok-1.5 and Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.

Grok-1.5
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground

FAQ

Common questions about Grok-1.5 vs Llama 3.2 90B Instruct.

Which is better, Grok-1.5 or Llama 3.2 90B Instruct?

Llama 3.2 90B Instruct leads the LLM Stats Score 5.2 to -2.6. Grok-1.5 is made by xAI and Llama 3.2 90B 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 90B 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 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for Grok-1.5 and Llama 3.2 90B Instruct?

Grok-1.5 supports an unknown number of tokens and Llama 3.2 90B 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 90B Instruct?

Key differences include LLM Stats Score (-2.6 vs 5.2), multimodal support (no vs yes), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5 and Llama 3.2 90B Instruct?

Grok-1.5 is developed by xAI and Llama 3.2 90B Instruct is developed by Meta.

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