Model Comparison

GPT-4o vs Llama 4 Scout

GPT-4o has a slight edge in benchmark performance. Llama 4 Scout is 32.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-4o outperforms in 4 benchmarks (GPQA, MMLU, MMLU-Pro, MMMU), while Llama 4 Scout is better at 3 benchmarks (ChartQA, DocVQA, MathVista).

GPT-4o has a slight edge in benchmark performance.

Tue Apr 07 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-4o ($2.50/1M tokens) is 31.3x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 33.3x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, GPT-4o is more expensive than Llama 4 Scout.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to GPT-4o's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Llama 4 Scout support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 8 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

Llama 4 Scout

Apr 5, 2025

1.0 years ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

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

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

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Key Takeaways

Higher GPQA score (70.1% vs 57.2%)
Higher MMLU score (85.7% vs 79.6%)
Higher MMLU-Pro score (74.7% vs 74.3%)
Higher MMMU score (72.2% vs 69.4%)
Larger context window (10,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher ChartQA score (88.8% vs 85.7%)
Higher DocVQA score (94.4% vs 92.8%)
Higher MathVista score (70.7% vs 61.4%)

Detailed Comparison

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

FAQ

Common questions about GPT-4o vs Llama 4 Scout

GPT-4o has a slight edge in benchmark performance. GPT-4o 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-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
Llama 4 Scout is 31.3x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.
GPT-4o supports 128K 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 (128K vs 10.0M), input pricing ($2.50 vs $0.08/M), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
GPT-4o is developed by OpenAI and Llama 4 Scout is developed by Meta.