Model Comparison

GPT-5.2 vs Llama 4 Scout

GPT-5.2 significantly outperforms across most benchmarks. Llama 4 Scout is 35.6x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

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

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

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.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

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.

GPT-5.2

Proprietary

Closed source

Llama 4 Scout

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.

GPT-5.2

Dec 11, 2025

3 months ago

8mo newer
Llama 4 Scout

Apr 5, 2025

12 months 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.

GPT-5.2

Aug 2025

Llama 4 Scout

—

Provider Availability

GPT-5.2 is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Higher GPQA score (92.4% vs 57.2%)
Meta
Larger context window (10,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
Meta
Llama 4 Scout

FAQ

Common questions about GPT-5.2 vs Llama 4 Scout

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
Llama 4 Scout is 21.9x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.
GPT-5.2 supports 400K tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 10.0M), input pricing ($1.75 vs $0.08/M), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and Llama 4 Scout is developed by Meta.