GPT-4o vs Llama 3.3 70B Instruct Comparison

Comparing GPT-4o and Llama 3.3 70B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4o outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.3 70B Instruct is better at 2 benchmarks (IFEval, MMLU).

Both models are evenly matched across the benchmarks.

Sun Mar 15 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-4o ($2.50/1M tokens) is 12.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 50.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, GPT-4o 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
Sun Mar 15 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

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

GPT-4o

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 4 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.6 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.3 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-4o is available from Azure, OpenAI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. The availability of providers can affect quality of the model and reliability.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

Supports multimodal inputs
Higher GPQA score (70.1% vs 50.5%)
Higher MMLU-Pro score (74.7% vs 68.9%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher IFEval score (92.1% vs 81.0%)
Higher MMLU score (86.0% vs 85.7%)

Detailed Comparison

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