Model Comparison
Gemini 3.1 Pro vs Llama 4 ScoutWhich is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. Llama 4 Scout is 41.7x cheaper per token.
Verdict: Gemini 3.1 Pro vs Llama 4 Scout — which is better?
Gemini 3.1 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 3.1 Pro outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 41.7x 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 3.1 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 Feb 2026
Choose Llama 4 Scout if…
- cost matters — it's about 41.7x 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
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 31.3x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 50.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Gemini 3.1 Pro's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Pro and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Llama 4 Scout
License
Usage and distribution terms
Gemini 3.1 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.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Llama 4 Scout was released on 2025-04-05.
Gemini 3.1 Pro is 11 months newer than Llama 4 Scout.
Feb 19, 2026
3 months ago
10mo newerApr 5, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Llama 4 Scout's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Llama 4 Scout's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from Google. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Gemini 3.1 Pro
Llama 4 Scout
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs Llama 4 Scout.