Model Comparison

Gemini 2.5 Pro Preview 06-05 vs Llama 3.2 90B Instruct

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. Llama 3.2 90B Instruct is 9.5x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Pro Preview 06-05 outperforms in 2 benchmarks (GPQA, MMMU), while Llama 3.2 90B Instruct is better at 0 benchmarks.

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 90B Instruct costs less

For input processing, Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens) is 3.6x more expensive than Llama 3.2 90B Instruct ($0.35/1M tokens).

For output processing, Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens) is 25.0x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).

In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than Llama 3.2 90B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat May 09 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
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

Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Llama 3.2 90B Instruct can generate longer responses up to 128,000 tokens, while Gemini 2.5 Pro Preview 06-05 is limited to 65,535 tokens.

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro Preview 06-05 and Llama 3.2 90B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while Llama 3.2 90B Instruct was released on 2024-09-25.

Gemini 2.5 Pro Preview 06-05 is 8 months newer than Llama 3.2 90B Instruct.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

11 months ago

8mo newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while Llama 3.2 90B Instruct's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without Llama 3.2 90B Instruct's cutoff date.

Gemini 2.5 Pro Preview 06-05

Jan 2025

Llama 3.2 90B Instruct

Provider Availability

Gemini 2.5 Pro Preview 06-05 is available from Google. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.

Gemini 2.5 Pro Preview 06-05

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Higher GPQA score (86.4% vs 46.7%)
Higher MMMU score (82.0% vs 60.3%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Llama 3.2 90B Instruct.

Which is better, Gemini 2.5 Pro Preview 06-05 or Llama 3.2 90B Instruct?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05 compare to Llama 3.2 90B Instruct in benchmarks?

Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

Is Gemini 2.5 Pro Preview 06-05 cheaper than Llama 3.2 90B Instruct?

Llama 3.2 90B Instruct is 3.6x cheaper for input tokens. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra.

What are the context window sizes for Gemini 2.5 Pro Preview 06-05 and Llama 3.2 90B Instruct?

Gemini 2.5 Pro Preview 06-05 supports 1.0M 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 2.5 Pro Preview 06-05 and Llama 3.2 90B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($1.25 vs $0.35/M), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro Preview 06-05 and Llama 3.2 90B Instruct?

Gemini 2.5 Pro Preview 06-05 is developed by Google and Llama 3.2 90B Instruct is developed by Meta.