Model Comparison

GPT-4 vs Llama 3.2 3B Instruct

GPT-4 significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is 3000.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

GPT-4 significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 3B Instruct costs less

For input processing, GPT-4 ($30.00/1M tokens) is 3000.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 3000.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, GPT-4 is more expensive than Llama 3.2 3B Instruct.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 3.2 3B Instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Llama 3.2 3B 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 3B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4 supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Llama 3.2 3B 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 3B 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 3B Instruct was released on 2024-09-25.

Llama 3.2 3B Instruct is 16 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

Llama 3.2 3B Instruct

Sep 25, 2024

1.6 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Llama 3.2 3B Instruct's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.

GPT-4

Dec 2022

Llama 3.2 3B Instruct

—

Provider Availability

GPT-4 is available from Azure, OpenAI. Llama 3.2 3B Instruct is available from DeepInfra.

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 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher GPQA score (35.7% vs 32.8%)
Higher HellaSwag score (95.3% vs 69.8%)
Higher MGSM score (74.5% vs 58.2%)
Higher MMLU score (86.4% vs 63.4%)
Meta
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (48.0% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
Meta
Llama 3.2 3B Instruct

FAQ

Common questions about GPT-4 vs Llama 3.2 3B Instruct

GPT-4 significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and Llama 3.2 3B 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 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.
Llama 3.2 3B Instruct is 3000.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.
GPT-4 supports 33K tokens and Llama 3.2 3B 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 $0.01/M), multimodal support (yes vs no), 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 3B Instruct is developed by Meta.