Calculate the cost of using mercury-edit-2 from Text-completion-inception for your AI applications
Pricing data last updated:
Mode: Completion
Max: 32,000 tokens
Max: 8,192 tokens
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mercury-edit-2 is a completion model from Text-completion-inception. It is priced at $0.25 per 1M input tokens and $0.75 per 1M output tokens, ranking 5 out of 22 completion models by cost and cheaper than 77% of models in this category. Its 32K-token context window is in the top 5% 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 32,000 input tokens. The maximum output length is 8,192 tokens.
At $0.25 per 1M input tokens and $0.75 per 1M output tokens, mercury-edit-2 ranks 5 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 77% of models in this category.
mercury-edit-2 is a completion model from Text-completion-inception, its 32K-token context window places it in the top 5% of completion models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs mercury-edit-2 |
|---|---|---|---|---|
| babbage-002 | Text-completion-openai | $0.40 | $0.40 | +60% |
| dolphin | NLP Cloud | $0.50 | $0.50 | +100% |
| text-bison | PaLM | $0.13 | $0.13 | -50% |
Similar completion models from other providers
Yes. mercury-edit-2 costs $0.25 per 1M input tokens compared to babbage-002's $0.40 per 1M input tokens, making it 60% more affordable. Both are completion models.
mercury-edit-2 input pricing is $0.25 per 1M tokens, which is 83% below the median of $1.50 for completion models. It ranks 5 out of 22 completion models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.75 per 1M tokens compared to the median of $2.00.
The most comparable completion models to mercury-edit-2 are: babbage-002 from Text-completion-openai ($0.40/1M input tokens); dolphin from NLP Cloud ($0.50/1M input tokens); text-bison from PaLM ($0.13/1M input tokens); text-bison-001 from PaLM ($0.13/1M 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.
mercury-edit-2 supports up to 32,000 input tokens, placing it in the top 5% of completion models by context window size (rank 1 of 22). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
mercury-edit-2 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 $0.25 and generating 1M output tokens costs $0.75.
