Model Comparison
Gemini 2.0 Flash Thinking vs Llama 3.2 90B Instruct
Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.0 Flash Thinking outperforms in 2 benchmarks (GPQA, MMMU), while Llama 3.2 90B Instruct is better at 0 benchmarks.
Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
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
Both Gemini 2.0 Flash Thinking and Llama 3.2 90B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash Thinking
Llama 3.2 90B Instruct
License
Usage and distribution terms
Gemini 2.0 Flash Thinking 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
Gemini 2.0 Flash Thinking was released on 2025-01-21, while Llama 3.2 90B Instruct was released on 2024-09-25.
Gemini 2.0 Flash Thinking is 4 months newer than Llama 3.2 90B Instruct.
Jan 21, 2025
1.4 years ago
3mo newerSep 25, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Llama 3.2 90B Instruct's cutoff date is not specified.
We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Llama 3.2 90B Instruct's cutoff date.
Aug 2024
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Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 2.0 Flash Thinking vs Llama 3.2 90B Instruct.