Calculate the cost of using ft:davinci-002 from Text-completion-openai for your AI applications
Pricing data last updated:
Mode: Completion
Max: 16,384 tokens
Max: 4,096 tokens
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ft:davinci-002 is a completion model from Text-completion-openai, one of 6 completion models they offer. It is priced at $12.00 per 1M input tokens and $12.00 per 1M output tokens, ranking 21 out of 22 completion models by cost and cheaper than 5% of models in this category. Its 16K-token context window is in the top 27% among completion models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 16,384 input tokens. The maximum output length is 4,096 tokens.
At $12.00 per 1M input tokens and $12.00 per 1M output tokens, ft:davinci-002 ranks 21 out of 22 completion models by input cost. It is more expensive compared to the median of $1.50 for completion models, and is cheaper than 5% of models in this category.
ft:davinci-002 is one of 6 Text-completion-openai completion models, its 16K-token context window places it in the top 27% of completion models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs ft:davinci-002 |
|---|---|---|---|---|
| j2-mid | AI21 | $10.00 | $10.00 | -17% |
| j2-ultra | AI21 | $15.00 | $15.00 | +25% |
| text-unicorn | Vertex AI | $10.00 | $28.00 | -17% |
Similar completion models from other providers
No. ft:davinci-002 costs $12.00 per 1M input tokens while j2-mid costs $10.00 per 1M input tokens, making j2-mid 17% more affordable for input. However, ft:davinci-002 may offer different capabilities or performance characteristics that justify the price difference.
ft:davinci-002 input pricing is $12.00 per 1M tokens, which is 700% above the median of $1.50 for completion models. It ranks 21 out of 22 completion models by input cost, making it cheaper than 5% of models in this category. For output, it costs $12.00 per 1M tokens compared to the median of $2.00.
Among Text-completion-openai's 6 completion models, ft:davinci-002 ranks 6 by input cost.
The most comparable completion models to ft:davinci-002 are: j2-mid from AI21 ($10.00/1M input tokens); j2-ultra from AI21 ($15.00/1M input tokens); text-unicorn from Vertex AI ($10.00/1M input tokens); text-unicorn@001 from Vertex AI ($10.00/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
ft:davinci-002 supports up to 16,384 input tokens, placing it in the top 27% of completion models by context window size (rank 6 of 22). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
ft:davinci-002 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $12.00 and generating 1M output tokens costs $12.00.
