Model Comparison

GPT-4 vs Llama 3.2 11B Instruct

GPT-4 shows notably better performance in the majority of benchmarks. Llama 3.2 11B Instruct is 750.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 outperforms in 3 benchmarks (GPQA, MGSM, MMLU), while Llama 3.2 11B Instruct is better at 1 benchmark (MATH).

GPT-4 shows notably better performance in the majority of benchmarks.

Sat Mar 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, GPT-4 ($30.00/1M tokens) is 600.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 1200.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, GPT-4 is more expensive than Llama 3.2 11B Instruct.*

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

Lowest available price from all providers
Sat Mar 28 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 3.2 11B Instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Llama 3.2 11B Instruct can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Mar 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4 and Llama 3.2 11B Instruct support multimodal inputs.

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

GPT-4

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 16 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.5 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Llama 3.2 11B Instruct has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

Llama 3.2 11B Instruct

Dec 2023

1 yr newer

Provider Availability

GPT-4 is available from Azure, OpenAI. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Higher GPQA score (35.7% vs 32.8%)
Higher MGSM score (74.5% vs 68.9%)
Higher MMLU score (86.4% vs 73.0%)
Meta
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (51.9% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about GPT-4 vs Llama 3.2 11B Instruct

GPT-4 shows notably better performance in the majority of benchmarks. GPT-4 is made by OpenAI and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.
Llama 3.2 11B Instruct is 600.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra.
GPT-4 supports 33K tokens and Llama 3.2 11B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 128K), input pricing ($30.00 vs $0.05/M), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.
GPT-4 is developed by OpenAI and Llama 3.2 11B Instruct is developed by Meta.