GPT-4o (2024-05-13) vs Llama 3.3 70B Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-4o (2024-05-13) and Llama 3.3 70B Instruct.
GPT-4o (2024-05-13)
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Technical Specifications
| Specification | GPT-4o (2024-05-13) | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 128,000 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-05-13 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o (2024-05-13)
$5.00
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
GPT-4o (2024-05-13)
$15.00
Llama 3.3 70B Instruct
$0.32
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-4o (2024-05-13) Quirks & Gotchas
No developer gotchas reported.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.