GPT-6 Cyber vs Llama 3.1 405B Instruct
GPT-6 Cyber leads the LLM Stats Score 41.0 to 14.2. Llama 3.1 405B Instruct is 44.9x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Cyber leads the overall LLM Stats Score 41.0 to 14.2, ranking #77 overall.
On price, Llama 3.1 405B Instruct is roughly 44.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Cyber also accepts a larger context window (1,050,000 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 41.0 and ranks #77 on LLM Stats
- your work emphasizes coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Llama 3.1 405B Instruct
- cost matters — it's about 44.9x cheaper per token
- 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 · 18 for Llama 3.1 405B Instruct
GPT-6 Cyber and Llama 3.1 405B Instructdon'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 22.5x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).
For output processing, GPT-6 Cyber ($100.00/1M tokens) is 112.4x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).
In conclusion, GPT-6 Cyber is more expensive than Llama 3.1 405B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Cyber accepts 1,050,000 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Cyber supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.
GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Cyber
Llama 3.1 405B Instruct
License
Usage and distribution terms
GPT-6 Cyber is licensed under a proprietary license, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
GPT-6 Cyber was released on 2026-11-05, while Llama 3.1 405B Instruct was released on 2024-07-23.
GPT-6 Cyber is 28 months newer than Llama 3.1 405B Instruct.
Nov 5, 2026
4 days ago
2.3yr newerJul 23, 2024
2.3 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 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.
GPT-6 Cyber
Llama 3.1 405B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Cyber and Llama 3.1 405B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Cyber vs Llama 3.1 405B Instruct.