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.
Model details →OpenAI: GPT-3.5 Turbo vs Sao10K: Llama 3.1 70B Hanami x1
OpenAI: GPT-3.5 Turbo wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-3.5 Turbo | Sao10K: Llama 3.1 70B Hanami x1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 16K | 🏆 OpenAI: GPT-3.5 Turbo |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.50 | $3.00 | 🏆 OpenAI: GPT-3.5 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.50 | $3.00 | 🏆 OpenAI: GPT-3.5 Turbo |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 OpenAI: GPT-3.5 Turbo |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is OpenAI: GPT-3.5 Turbo better than Sao10K: Llama 3.1 70B Hanami x1?
OpenAI: GPT-3.5 Turbo wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-3.5 Turbo and Sao10K: Llama 3.1 70B Hanami x1?
Input: $0.50 vs $3.00 per 1M tokens. Output: $1.50 vs $3.00 per 1M tokens.
What context windows do OpenAI: GPT-3.5 Turbo and Sao10K: Llama 3.1 70B Hanami x1 support?
OpenAI: GPT-3.5 Turbo supports up to 16K tokens. Sao10K: Llama 3.1 70B Hanami x1 supports up to 16K tokens.
Do both OpenAI: GPT-3.5 Turbo and Sao10K: Llama 3.1 70B Hanami x1 support tool calling?
OpenAI: GPT-3.5 Turbo: yes. Sao10K: Llama 3.1 70B Hanami x1: not advertised.