GPT-6.1 Terra vs Llama 4 Scout
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 7.3. Llama 4 Scout is 14.8x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 7.3, ranking #36 overall.
On price, Llama 4 Scout is roughly 14.8x 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-6.1 Terra
- overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
Choose Llama 4 Scout
- cost matters — it's about 14.8x 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
8 reported for GPT-6.1 Terra · 12 for Llama 4 Scout
GPT-6.1 Terra 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-6.1 Terra ($1.00/1M tokens) is 12.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 16.7x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GPT-6.1 Terra 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-6.1 Terra's 1,050,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6.1 Terra and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6.1 Terra
Llama 4 Scout
License
Usage and distribution terms
GPT-6.1 Terra 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-6.1 Terra was released on 2026-10-26, while Llama 4 Scout was released on 2025-04-05.
GPT-6.1 Terra is 19 months newer than Llama 4 Scout.
Oct 26, 2026
3 days ago
1.6yr newerApr 5, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Llama 4 Scout's cutoff date is not specified.
We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without Llama 4 Scout's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GPT-6.1 Terra
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Llama 4 Scout.