Model Comparison
GPT-4 vs Llama 3.3 70B InstructWhich is better in 2026?
Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Llama 3.3 70B Instruct is 187.5x cheaper per token.
Verdict: GPT-4 vs Llama 3.3 70B Instruct — which is better?
GPT-4 (by OpenAI) and Llama 3.3 70B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4 outperforms in 1 benchmarks (MMLU), while Llama 3.3 70B Instruct is better at 4 benchmarks (GPQA, HumanEval, MATH, MGSM). Llama 3.3 70B Instruct significantly outperforms across most benchmarks.
On price, Llama 3.3 70B Instruct is roughly 187.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.3 70B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 if…
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose Llama 3.3 70B Instruct if…
- you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
- cost matters — it's about 187.5x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 1 benchmarks (MMLU), while Llama 3.3 70B Instruct is better at 4 benchmarks (GPQA, HumanEval, MATH, MGSM).
Llama 3.3 70B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 150.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 300.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, GPT-4 is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 3.3 70B Instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Llama 3.3 70B 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
GPT-4 supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Llama 3.3 70B Instruct
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
GPT-4 was released on 2023-06-13, while Llama 3.3 70B Instruct was released on 2024-12-06.
Llama 3.3 70B Instruct is 18 months newer than GPT-4.
Jun 13, 2023
3.0 years ago
Dec 6, 2024
1.5 years ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Llama 3.3 70B 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 3.3 70B Instruct's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
GPT-4
Llama 3.3 70B Instruct
Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Llama 3.3 70B Instruct.