Model Comparison

Gemini 2.0 Flash Thinking vs Llama 3.2 90B InstructWhich is better in 2026?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash Thinking vs Llama 3.2 90B Instruct — which is better?

Gemini 2.0 Flash Thinking (by Google) and Llama 3.2 90B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose Gemini 2.0 Flash Thinking if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose Llama 3.2 90B Instruct if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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.

Sun Jun 28 2026 • llm-stats.com

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).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Jun 28 2026 • llm-stats.com

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

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

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.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Llama 3.2 90B Instruct

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.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.4 years ago

3mo newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.8 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.

Gemini 2.0 Flash Thinking

Aug 2024

Llama 3.2 90B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Higher GPQA score (74.2% vs 46.7%)
Higher MMMU score (75.4% vs 60.3%)
Meta
Larger context window (128,000 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Llama 3.2 90B Instruct.

Which is better, Gemini 2.0 Flash Thinking or Llama 3.2 90B Instruct?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking 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.

How does Gemini 2.0 Flash Thinking compare to Llama 3.2 90B Instruct in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. 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 Gemini 2.0 Flash Thinking and Llama 3.2 90B Instruct?

Gemini 2.0 Flash Thinking 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 Gemini 2.0 Flash Thinking and Llama 3.2 90B Instruct?

Key differences include licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Llama 3.2 90B Instruct?

Gemini 2.0 Flash Thinking is developed by Google and Llama 3.2 90B Instruct is developed by Meta.

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