Calculate the cost of using system.ai.meta-llama-3-3-70b-instruct from Databricks for your AI applications
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Mode: Chat
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system.ai.meta-llama-3-3-70b-instruct is a chat model from Databricks, one of 108 chat models they offer. It is priced at $0.50 per 1M input tokens and $1.50 per 1M output tokens, ranking 1625 out of 3254 chat models by cost and cheaper than 50% of models in this category. system.ai.meta-llama-3-3-70b-instruct supports function calling.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.50 per 1M input tokens and $1.50 per 1M output tokens, system.ai.meta-llama-3-3-70b-instruct ranks 1625 out of 3254 chat models by input cost. It is competitively priced compared to the median of $0.52 for chat models, and is cheaper than 50% of models in this category.
system.ai.meta-llama-3-3-70b-instruct is one of 108 Databricks chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs system.ai.meta-llama-3-3-70b-instruct |
|---|---|---|---|---|
| us.writer.palmyra-x5-v1:0 | AWS Bedrock | $0.60 | $6.00 | +20% |
| writer.palmyra-x5-v1:0 | AWS Bedrock | $0.60 | $6.00 | +20% |
| gpt-3.5-turbo-0125 | Azure | $0.50 | $1.50 | 0% |
Similar chat models from other providers
Yes. system.ai.meta-llama-3-3-70b-instruct costs $0.50 per 1M input tokens compared to us.writer.palmyra-x5-v1:0's $0.60 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for function calling.
system.ai.meta-llama-3-3-70b-instruct input pricing is $0.50 per 1M tokens, which is 3% below the median of $0.52 for chat models. It ranks 1625 out of 3254 chat models by input cost, making it cheaper than 50% of models in this category. For output, it costs $1.50 per 1M tokens compared to the median of $1.50.
Among Databricks's 108 chat models, system.ai.meta-llama-3-3-70b-instruct ranks 35 by input cost.
The most comparable chat models to system.ai.meta-llama-3-3-70b-instruct are: us.writer.palmyra-x5-v1:0 from AWS Bedrock ($0.60/1M input tokens); writer.palmyra-x5-v1:0 from AWS Bedrock ($0.60/1M input tokens); gpt-3.5-turbo-0125 from Azure ($0.50/1M input tokens); gpt-35-turbo-0125 from Azure ($0.50/1M 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.
system.ai.meta-llama-3-3-70b-instruct 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 $0.50 and generating 1M output tokens costs $1.50.