Model Comparison

Gemini Diffusion vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while Llama 3.2 90B Instruct is better at 1 benchmark (GPQA).

Llama 3.2 90B Instruct significantly outperforms across most benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
Google
Gemini Diffusion
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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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).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 90B Instruct supports multimodal inputs, whereas Gemini Diffusion does not.

Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini Diffusion 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.

Gemini Diffusion

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Llama 3.2 90B Instruct was released on 2024-09-25.

Gemini Diffusion is 8 months newer than Llama 3.2 90B Instruct.

Gemini Diffusion

May 20, 2025

10 months ago

7mo newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.5 years ago

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

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Key Takeaways

Google
Meta
Larger context window (128,000 tokens)
Supports multimodal inputs
Has open weights
Higher GPQA score (46.7% vs 40.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about Gemini Diffusion vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct significantly outperforms across most benchmarks. Gemini Diffusion is made by Google and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.
Gemini Diffusion 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.
Key differences include multimodal support (no vs yes), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.
Gemini Diffusion is developed by Google and Llama 3.2 90B Instruct is developed by Meta.