Date Source：https://openai.com/pricing
Multiple models, each with different capabilities and price points. Prices can be viewed in units of either per 1M or 1K tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words. This paragraph is 35 tokens.
<aside> 💡 1 wGPT = 1 GPT-3.5 Turbo input token
</aside>
| Model | Input | Output | |
|---|---|---|---|
| GPT-4 Turbo | gpt-4-0125-preview | $10.00 / 1M tokens | $30.00 / 1M tokens |
| GPT-4 Turbo | gpt-4-1106-preview | $10.00 / 1M tokens | $30.00 / 1M tokens |
| GPT-4 Turbo | gpt-4-1106-vision-preview | $10.00 / 1M tokens | $30.00 / 1M tokens |
| GPT-4 | gpt-4 | $30.00 / 1M tokens | $60.00 / 1M tokens |
| GPT-4 | gpt-4-32k | $60.00 / 1M tokens | $120.00 / 1M tokens |
| GPT-3.5 Turbo | gpt-3.5-turbo-0125 | $0.50 / 1M tokens | $1.50 / 1M tokens |
| GPT-3.5 Turbo | gpt-3.5-turbo-instruct | $1.50 / 1M tokens | $2.00 / 1M tokens |
This section below provides a comparative analysis of token usage among various models, using the GPT-3.5 Turbo input token exchange rate as a benchmark. same as comparing $wGPT rates
<aside> 🤔 Example: Ask: hi（1 input token） Answer: Hello! How can I assist you today?（9 output token）
</aside>
| Model | | Input Cost （1 Input） | Output Cost （9 Outputs） | Input + Output | Rate compare with GPT-3.5 Turbo | | --- | --- | --- | --- | --- | --- | | GPT-4 Turbo | gpt-4-0125-preview | $0.000010 | $0.000270 | $0.000280 | 2000% | | GPT-4 Turbo | gpt-4-1106-preview | $0.000010 | $0.000270 | $0.000280 | 2000% | | GPT-4 Turbo | gpt-4-1106-vision-preview | $0.000010 | $0.000270 | $0.000280 | 2000% | | GPT-4 | gpt-4 | $0.000030 | $0.000540 | $0.000570 | 4071% | | GPT-4 | gpt-4-32k | $0.000060 | $0.001080 | $0.001140 | 8143% | | GPT-3.5 Turbo | gpt-3.5-turbo-0125 | $0.000001 | $0.000014 | $0.000014 | baseline | | GPT-3.5 Turbo | gpt-3.5-turbo-instruct | $0.000002 | $0.000018 | $0.000020 | 139% |