Model Comparison

GPT-4 vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Llama 3.3 70B Instruct is 187.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Tue Mar 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

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

Lowest available price from all providers
Tue Mar 31 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

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.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Mar 31 2026 • llm-stats.com

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

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

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.

GPT-4

Proprietary

Closed source

Llama 3.3 70B Instruct

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.

GPT-4

Jun 13, 2023

2.8 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.3 years ago

1.5yr newer

Knowledge 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.

GPT-4

Dec 2022

Llama 3.3 70B Instruct

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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

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 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher MMLU score (86.4% vs 86.0%)
Meta
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (50.5% vs 35.7%)
Higher HumanEval score (88.4% vs 67.0%)
Higher MATH score (77.0% vs 42.0%)
Higher MGSM score (91.1% vs 74.5%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about GPT-4 vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and Llama 3.3 70B 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 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.
Llama 3.3 70B Instruct is 150.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.
GPT-4 supports 33K tokens and Llama 3.3 70B 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 $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
GPT-4 is developed by OpenAI and Llama 3.3 70B Instruct is developed by Meta.