Model Comparison

GPT-4o mini vs Llama 3.2 3B Instruct

GPT-4o mini significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is 21.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4o mini outperforms in 4 benchmarks (GPQA, MATH, MGSM, MMLU), while Llama 3.2 3B Instruct is better at 0 benchmarks.

GPT-4o mini significantly outperforms across most benchmarks.

Fri Apr 10 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-4o mini ($0.15/1M tokens) is 15.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 30.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, GPT-4o mini 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
Fri Apr 10 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
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

Both models have the same input context window of 128,000 tokens. Llama 3.2 3B Instruct can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4o mini

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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-4o mini

Proprietary

Closed source

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Llama 3.2 3B Instruct was released on 2024-09-25.

Llama 3.2 3B Instruct is 2 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Llama 3.2 3B Instruct

Sep 25, 2024

1.5 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Llama 3.2 3B Instruct's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.

GPT-4o mini

Oct 2023

Llama 3.2 3B Instruct

—

Provider Availability

GPT-4o mini is available from Azure. Llama 3.2 3B Instruct is available from DeepInfra.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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 (40.2% vs 32.8%)
Higher MATH score (70.2% vs 48.0%)
Higher MGSM score (87.0% vs 58.2%)
Higher MMLU score (82.0% vs 63.4%)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

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

FAQ

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

GPT-4o mini significantly outperforms across most benchmarks. GPT-4o mini 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-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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 15.0x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.
GPT-4o mini supports 128K 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 input pricing ($0.15 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-4o mini is developed by OpenAI and Llama 3.2 3B Instruct is developed by Meta.