GPT-3.5 Turbo 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-3.5 Turbo and Llama 3.3 70B Instruct.
GPT-3.5 Turbo
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Llama 3.3 70B Instruct
Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.
Technical Specifications
| Specification | GPT-3.5 Turbo | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 16,385 tokens | 131,072 tokens |
| Agent Suitability | N/A | 83/100 |
| Time to First Token (TTFT) | N/A | 280 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2023-05-28 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo
$0.50
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
GPT-3.5 Turbo
$1.50
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-3.5 Turbo Quirks & Gotchas
No developer gotchas reported.
Llama 3.3 70B Instruct Quirks & Gotchas
- ▸Stable, well-documented self-hosted option with strong community support
- ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows