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.
OpenAI · Meta · Updated for 2026
Which is better?
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.
On price, Llama 3.2 11B Instruct is roughly 750.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.2 11B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-4
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
Choose Llama 3.2 11B Instruct
- cost matters — it's about 750.0x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- 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-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.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
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
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.
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
Llama 3.2 11B Instruct
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.
Proprietary
Closed source
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.
Jun 13, 2023
3.2 years ago
Sep 25, 2024
1.9 years ago
1.3yr newerKnowledge 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).
Dec 2022
Dec 2023
1 yr newerProvider Availability
GPT-4 is available from Azure, OpenAI. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
GPT-4
Llama 3.2 11B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Llama 3.2 11B Instruct.