GPT-5.2 vs Llama 4 Scout
GPT-5.2 leads the LLM Stats Score 41.3 to 7.8. Llama 4 Scout is 35.6x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-5.2 leads the overall LLM Stats Score 41.3 to 7.8, ranking #59 overall.
In the 1 individual benchmarks reported for both models, GPT-5.2 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Scout is roughly 35.6x 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-5.2
- overall performance matters — it scores 41.3 and ranks #59 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Dec 2025
Choose Llama 4 Scout
- cost matters — it's about 35.6x 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-5.2 · 12 for Llama 4 Scout
GPT-5.2 outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.
GPT-5.2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 ($1.75/1M tokens) is 21.9x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 46.7x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GPT-5.2 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-5.2's 400,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2
Llama 4 Scout
License
Usage and distribution terms
GPT-5.2 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-5.2 was released on 2025-12-11, while Llama 4 Scout was released on 2025-04-05.
GPT-5.2 is 8 months newer than Llama 4 Scout.
Dec 11, 2025
9 months ago
8mo newerApr 5, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Llama 4 Scout's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Llama 4 Scout's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GPT-5.2
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 vs Llama 4 Scout.