Model Comparison

Gemini 3 Pro vs Llama 4 ScoutWhich is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. Llama 4 Scout is 33.3x cheaper per token.

Verdict: Gemini 3 Pro vs Llama 4 Scout — which is better?

Gemini 3 Pro (by Google) and Llama 4 Scout (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 3 Pro outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, Llama 4 Scout is roughly 33.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Nov 2025

Choose Llama 4 Scout if…

  • cost matters — it's about 33.3x cheaper per token
  • you process long inputs — it offers a 10,000,000 token context window
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 25.0x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 40.0x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Gemini 3 Pro's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Llama 4 Scout support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Pro

Proprietary

Closed source

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Llama 4 Scout was released on 2025-04-05.

Gemini 3 Pro is 8 months newer than Llama 4 Scout.

Gemini 3 Pro

Nov 18, 2025

6 months ago

7mo newer
Llama 4 Scout

Apr 5, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Llama 4 Scout's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Gemini 3 Pro

Jan 2025

Llama 4 Scout

—

Provider Availability

Gemini 3 Pro is available from Google. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Higher GPQA score (91.9% vs 57.2%)
Meta
Larger context window (10,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Meta
Llama 4 Scout

FAQ

Common questions about Gemini 3 Pro vs Llama 4 Scout.

Which is better, Gemini 3 Pro or Llama 4 Scout?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Pro compare to Llama 4 Scout in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Gemini 3 Pro cheaper than Llama 4 Scout?

Llama 4 Scout is 25.0x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Gemini 3 Pro and Llama 4 Scout?

Gemini 3 Pro supports 1.0M tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Pro and Llama 4 Scout?

Key differences include context window (1.0M vs 10.0M), input pricing ($2.00 vs $0.08/M), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Llama 4 Scout?

Gemini 3 Pro is developed by Google and Llama 4 Scout is developed by Meta.

Related comparisons