GPT-5 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-5 and Llama 3.3 70B Instruct.
GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
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-5 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 400,000 tokens | 131,072 tokens |
| Agent Suitability | 92/100 | N/A |
| Time to First Token (TTFT) | 320 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-07 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5
$1.25
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
GPT-5
$10.00
Llama 3.3 70B Instruct
$0.32
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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-5 Quirks & Gotchas
- ▸Reliable all-rounder — use as default for most production workflows
- ▸Not recommended for advanced reasoning chains — use o3-mini instead
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.