Model Comparison
GPT-5.6 Terra vs Llama 4 ScoutWhich is better in 2026?
GPT-5.6 Terra significantly outperforms across most benchmarks. Llama 4 Scout is 41.7x cheaper per token.
Verdict: GPT-5.6 Terra vs Llama 4 Scout — which is better?
GPT-5.6 Terra (by OpenAI) 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.
GPT-5.6 Terra outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks. GPT-5.6 Terra 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 GPT-5.6 Terra if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Jul 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
GPT-5.6 Terra outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.
GPT-5.6 Terra significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Terra ($2.50/1M tokens) is 31.3x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GPT-5.6 Terra ($15.00/1M tokens) is 50.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GPT-5.6 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-5.6 Terra's 1,050,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT-5.6 Terra is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.6 Terra and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Terra
Llama 4 Scout
License
Usage and distribution terms
GPT-5.6 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-5.6 Terra was released on 2026-07-09, while Llama 4 Scout was released on 2025-04-05.
GPT-5.6 Terra is 15 months newer than Llama 4 Scout.
Jul 9, 2026
1 weeks ago
1.3yr newerApr 5, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while Llama 4 Scout's cutoff date is not specified.
We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without Llama 4 Scout's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Terra is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GPT-5.6 Terra
Llama 4 Scout
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Terra and Llama 4 Scout side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Terra vs Llama 4 Scout.