Grok-1.5 vs Llama 3.2 90B Instruct Comparison
Comparing Grok-1.5 and Llama 3.2 90B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
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).
Input Capabilities
Supported data types and modalities
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
Llama 3.2 90B Instruct
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.
Proprietary
Closed source
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.
Mar 28, 2024
2.0 years ago
Sep 25, 2024
1.5 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Detailed Comparison
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