Calculate the cost of using babbage-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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babbage-002 is a completion model from Text-completion-openai, one of 6 completion models they offer. It is priced at $0.40 per 1M input tokens and $0.40 per 1M output tokens, ranking 6 out of 22 completion models by cost and cheaper than 73% 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 $0.40 per 1M input tokens and $0.40 per 1M output tokens, babbage-002 ranks 6 out of 22 completion models by input cost. It is more affordable compared to the median of $1.50 for completion models, and is cheaper than 73% of models in this category.
babbage-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 babbage-002 |
|---|---|---|---|---|
| dolphin | NLP Cloud | $0.50 | $0.50 | +25% |
| mercury-edit-2 | Text-completion-inception | $0.25 | $0.75 | -37% |
| gpt-3.5-turbo-instruct-0914 | Azure Text | $1.50 | $2.00 | +275% |
Similar completion models from other providers
Yes. babbage-002 costs $0.40 per 1M input tokens compared to dolphin's $0.50 per 1M input tokens, making it 25% more affordable. Both are completion models.
babbage-002 input pricing is $0.40 per 1M tokens, which is 73% below the median of $1.50 for completion models. It ranks 6 out of 22 completion models by input cost, making it cheaper than 73% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $2.00.
Among Text-completion-openai's 6 completion models, babbage-002 ranks 1 by input cost.
The most comparable completion models to babbage-002 are: dolphin from NLP Cloud ($0.50/1M input tokens); mercury-edit-2 from Text-completion-inception ($0.25/1M input tokens); gpt-3.5-turbo-instruct-0914 from Azure Text ($1.50/1M input tokens); gpt-35-turbo-instruct from Azure Text ($1.50/1M 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.
babbage-002 supports up to 16,384 input tokens, placing it in the top 27% of completion models by context window size (rank 2 of 22). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
babbage-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 $0.40 and generating 1M output tokens costs $0.40.
