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system.ai.meta-llama-3-3-70b-instruct Cost Calculator - Databricks

Calculate the cost of using system.ai.meta-llama-3-3-70b-instruct from Databricks for your AI applications

Pricing data last updated:

system.ai.meta-llama-3-3-70b-instruct Cost Calculator

Mode: Chat

Cost Breakdown

Input Cost$0.00050001
Output Cost$0.001500
Total Cost$0.002000

Pricing Details

Input: $0.0000005000 per token
Output: $0.00000150 per token
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About system.ai.meta-llama-3-3-70b-instruct

system.ai.meta-llama-3-3-70b-instruct is a chat model from Databricks, one of 167 chat models they offer. It is priced at $0.50 per 1M input tokens and $1.50 per 1M output tokens, ranking 1782 out of 3639 chat models by cost and cheaper than 51% of models in this category.

Pricing Information

Input Cost$0.50 per 1M tokens
Output Cost$1.50 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

How system.ai.meta-llama-3-3-70b-instruct Pricing Compares

At $0.50 per 1M input tokens and $1.50 per 1M output tokens, system.ai.meta-llama-3-3-70b-instruct ranks 1782 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 51% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs system.ai.meta-llama-3-3-70b-instruct
ai21.jamba-instruct-v1:0AWS Bedrock$0.50$0.700%
us.writer.palmyra-x5-v1:0AWS Bedrock$0.60$6.00+20%
writer.palmyra-x5-v1:0AWS Bedrock$0.60$6.00+20%

Alternatives to system.ai.meta-llama-3-3-70b-instruct

Similar chat models from other providers

AWS Bedrock
ai21.jamba-instruct-v1:0
$0.50/1M input
0% vs system.ai.meta-llama-3-3-70b-instruct
AWS Bedrock
us.writer.palmyra-x5-v1:0
$0.60/1M input
+20% vs system.ai.meta-llama-3-3-70b-instruct
AWS Bedrock
writer.palmyra-x5-v1:0
$0.60/1M input
+20% vs system.ai.meta-llama-3-3-70b-instruct
AWS Bedrock
amazon.titan-text-premier-v1:0
$0.50/1M input
0% vs system.ai.meta-llama-3-3-70b-instruct
Azure
gpt-3.5-turbo-0125
$0.50/1M input
0% vs system.ai.meta-llama-3-3-70b-instruct

Frequently Asked Questions

Is system.ai.meta-llama-3-3-70b-instruct cheaper than ai21.jamba-instruct-v1:0?

No. system.ai.meta-llama-3-3-70b-instruct costs $0.50 per 1M input tokens while ai21.jamba-instruct-v1:0 costs $0.50 per 1M input tokens, making ai21.jamba-instruct-v1:0 0% more affordable for input. However, system.ai.meta-llama-3-3-70b-instruct may offer different capabilities or performance characteristics that justify the price difference.

How does system.ai.meta-llama-3-3-70b-instruct pricing compare to the average chat model?

system.ai.meta-llama-3-3-70b-instruct input pricing is $0.50 per 1M tokens, which is 14% below the median of $0.58 for chat models. It ranks 1782 out of 3639 chat models by input cost, making it cheaper than 51% of models in this category. For output, it costs $1.50 per 1M tokens compared to the median of $1.66.

What makes system.ai.meta-llama-3-3-70b-instruct different from other Databricks models?

Among Databricks's 167 chat models, system.ai.meta-llama-3-3-70b-instruct ranks 50 by input cost.

What are the best alternatives to system.ai.meta-llama-3-3-70b-instruct?

The most comparable chat models to system.ai.meta-llama-3-3-70b-instruct are: ai21.jamba-instruct-v1:0 from AWS Bedrock ($0.50/1M input tokens); 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); amazon.titan-text-premier-v1:0 from AWS Bedrock ($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.

How do I calculate system.ai.meta-llama-3-3-70b-instruct costs?

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.