GPT-6 Rosalind vs Llama 4 Scout
Comparing GPT-6 Rosalind and Llama 4 Scout across benchmarks, pricing, and capabilities.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Rosalind and Llama 4 Scout trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Llama 4 Scout is roughly 222.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Rosalind
- you want the most recent training data — it shipped Oct 2026
Choose Llama 4 Scout
- cost matters — it's about 222.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
0 reported for GPT-6 Rosalind · 12 for Llama 4 Scout
GPT-6 Rosalind 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 Rosalind ($15.00/1M tokens) is 187.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 250.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GPT-6 Rosalind 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
Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Rosalind and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Rosalind
Llama 4 Scout
License
Usage and distribution terms
GPT-6 Rosalind 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 Rosalind was released on 2026-10-30, while Llama 4 Scout was released on 2025-04-05.
GPT-6 Rosalind is 19 months newer than Llama 4 Scout.
Oct 30, 2026
2 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 Rosalind is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GPT-6 Rosalind
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Llama 4 Scout.