GPT-4o vs Llama 3.2 3B Instruct
GPT-4o significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is 350.0x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-4o outperforms in 3 benchmarks (GPQA, IFEval, MMLU), while Llama 3.2 3B Instruct is better at 0 benchmarks. GPT-4o significantly outperforms across most benchmarks.
On price, Llama 3.2 3B Instruct is roughly 350.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-4o
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
Choose Llama 3.2 3B Instruct
- cost matters — it's about 350.0x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 3 benchmarks (GPQA, IFEval, MMLU), while Llama 3.2 3B Instruct is better at 0 benchmarks.
GPT-4o significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 250.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 500.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).
In conclusion, GPT-4o is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
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 is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Llama 3.2 3B Instruct
License
Usage and distribution terms
GPT-4o 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.
Proprietary
Closed source
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while Llama 3.2 3B Instruct was released on 2024-09-25.
Llama 3.2 3B Instruct is 2 months newer than GPT-4o.
Aug 6, 2024
2.1 years ago
Sep 25, 2024
1.9 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Llama 3.2 3B Instruct is available from DeepInfra.
GPT-4o
Llama 3.2 3B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Llama 3.2 3B Instruct.