gpt-3.5-turbo is the “full price” version. It is still an alias to gpt-3.5-turbo-0613. It is priced the same as it has always been, the same as listed for “instruct”. (update: gpt-3.5-turbo has since been re-pointed to GPT-3.5-turbo-0125)
OpenAI has been unclear and cagey with what they show for pricing since devday, perhaps intentionally so, because they haven’t reduced the price of existing models (except fine-tune which was way overpriced), they just introduced ones that are cheaper to operate.
In my chart, cost is per 1 million tokens so you can compare the prices more easily:
| Model | Training 1M | Input usage 1M | Output usage 1M | Context Length |
|---|---|---|---|---|
| GPT-3.5-turbo-0125 | $n/a | $0.50 | $1.50 | 16k (4k out) |
| GPT-3.5-turbo-1106 | $n/a | $1.00 | $2.00 | 16k (4k out) |
| GPT-3.5-turbo-0613 | $n/a | $1.50 | $2.00 | 4k |
| GPT-3.5-turbo-0301 | $n/a | $1.50 | $2.00 | 4k |
| gpt-3.5-turbo-16k-0613 | $n/a | $3.00 | $4.00 | 16k |
| GPT-3.5 Turbo fine-tune (all?) | $8.00 | $3.00 | $6.00 | 4k |
| GPT-4-turbo (all) | $n/a | $10.00 | $30.00 | 125k (4k out) |
| GPT-4 | $n/a | $30.00 | $60.00 | 8k |
| -------- | ------------- | ------------- | ------------- | ------------- |
| babbage-002 base | $n/a | $0.40 | $0.40 | 16k |
| babbage-002 fine-tune | $0.40 | $1.60 | $1.60 | 16k |
| -------- | ------------- | ------------- | ------------- | ------------- |
| davinci-002 base | $n/a | $2.00 | $2.00 | 16k |
| davinci-002 fine-tune | $6.00 | $12.00 | $12.00 | 16k |
I can’t explain why you’d be denied the newest model unless it is still rolling out; I’ve been plugging away at bugs on it since yesterday. That’s not an API error. Update openai and tiktoken libraries to the latest that know about the models.