GPT-6 Cyber vs Llama 4 Scout
GPT-6 Cyber leads the LLM Stats Score 40.9 to 7.2. Llama 4 Scout is 296.3x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Cyber leads the overall LLM Stats Score 40.9 to 7.2, ranking #78 overall.
On price, Llama 4 Scout is roughly 296.3x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Cyber
- overall performance matters — it scores 40.9 and ranks #78 on LLM Stats
- your work emphasizes coding — it leads those capability indexes
- you want the most recent training data — it shipped Nov 2026
Choose Llama 4 Scout
- cost matters — it's about 296.3x 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
At a glance
The differences that matter most.
Individual benchmarks
1 reported for GPT-6 Cyber · 12 for Llama 4 Scout
GPT-6 Cyber and Llama 4 Scoutdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Cyber ($20.00/1M tokens) is 250.0x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GPT-6 Cyber ($100.00/1M tokens) is 333.3x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GPT-6 Cyber 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 GPT-6 Cyber's 1,050,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT-6 Cyber is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Cyber and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Cyber
Llama 4 Scout
License
Usage and distribution terms
GPT-6 Cyber 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
GPT-6 Cyber was released on 2026-11-05, while Llama 4 Scout was released on 2025-04-05.
GPT-6 Cyber is 19 months newer than Llama 4 Scout.
Nov 5, 2026
4 days ago
1.6yr newerApr 5, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-6 Cyber is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GPT-6 Cyber
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Cyber and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Cyber vs Llama 4 Scout.