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meta.llama-3.3-70b-instruct-fp8-dynamic Cost Calculator - Oci

Calculate the cost of using meta.llama-3.3-70b-instruct-fp8-dynamic from Oci for your AI applications

Pricing data last updated:

meta.llama-3.3-70b-instruct-fp8-dynamic Cost Calculator

Mode: Chat

Max: 128,000 tokens

Max: 4,000 tokens

Cost Breakdown

Input Cost$0.00072000
Output Cost$0.00072000
Total Cost$0.001440

Pricing Details

Input: $0.0000007200 per token
Output: $0.0000007200 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens128,000
Max Output Tokens4,000
Max Tokens4,000

About meta.llama-3.3-70b-instruct-fp8-dynamic

meta.llama-3.3-70b-instruct-fp8-dynamic is a chat model from Oci, one of 35 chat models they offer. It is priced at $0.72 per 1M input tokens and $0.72 per 1M output tokens, ranking 1311 out of 2292 chat models by cost and cheaper than 43% of models in this category. meta.llama-3.3-70b-instruct-fp8-dynamic supports function calling. It accepts up to 128K input tokens.

Pricing Information

Input Cost$0.72 per 1M tokens
Output Cost$0.72 per 1M tokens

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

Technical Specifications

Maximum Input Tokens128,000
Maximum Output Tokens4,000
Maximum Total Tokens4,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 128,000 input tokens. The maximum output length is 4,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools

How meta.llama-3.3-70b-instruct-fp8-dynamic Pricing Compares

At $0.72 per 1M input tokens and $0.72 per 1M output tokens, meta.llama-3.3-70b-instruct-fp8-dynamic ranks 1311 out of 2292 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 43% of models in this category.

meta.llama-3.3-70b-instruct-fp8-dynamic is one of 35 Oci chat models, with support for function calling.

ModelProviderInput / 1M tokensOutput / 1M tokensvs meta.llama-3.3-70b-instruct-fp8-dynamic
us.writer.palmyra-x5-v1:0AWS Bedrock$0.60$6.00-17%
writer.palmyra-x5-v1:0AWS Bedrock$0.60$6.00-17%
amazon.nova-pro-v1:0AWS Bedrock$0.80$3.20+11%

Alternatives to meta.llama-3.3-70b-instruct-fp8-dynamic

Similar chat models from other providers

AWS Bedrock
us.writer.palmyra-x5-v1:0
$0.60/1M input
-17% vs meta.llama-3.3-70b-instruct-fp8-dynamic
AWS Bedrock
writer.palmyra-x5-v1:0
$0.60/1M input
-17% vs meta.llama-3.3-70b-instruct-fp8-dynamic
AWS Bedrock
amazon.nova-pro-v1:0
$0.80/1M input
+11% vs meta.llama-3.3-70b-instruct-fp8-dynamic
AWS Bedrock
anthropic.claude-3-5-haiku-20241022-v1:0
$0.80/1M input
+11% vs meta.llama-3.3-70b-instruct-fp8-dynamic
Anyscale
Mixtral-8x22B-Instruct-v0.1
$0.90/1M input
+25% vs meta.llama-3.3-70b-instruct-fp8-dynamic

Frequently Asked Questions

Is meta.llama-3.3-70b-instruct-fp8-dynamic cheaper than us.writer.palmyra-x5-v1:0?

No. meta.llama-3.3-70b-instruct-fp8-dynamic costs $0.72 per 1M input tokens while us.writer.palmyra-x5-v1:0 costs $0.60 per 1M input tokens, making us.writer.palmyra-x5-v1:0 17% more affordable for input. However, meta.llama-3.3-70b-instruct-fp8-dynamic may offer different capabilities or performance characteristics that justify the price difference.

How does meta.llama-3.3-70b-instruct-fp8-dynamic pricing compare to the average chat model?

meta.llama-3.3-70b-instruct-fp8-dynamic input pricing is $0.72 per 1M tokens, which is 31% above the median of $0.55 for chat models. It ranks 1311 out of 2292 chat models by input cost, making it cheaper than 43% of models in this category. For output, it costs $0.72 per 1M tokens compared to the median of $1.50.

What makes meta.llama-3.3-70b-instruct-fp8-dynamic different from other Oci models?

Among Oci's 35 chat models, meta.llama-3.3-70b-instruct-fp8-dynamic ranks 14 by input cost.

What are the best alternatives to meta.llama-3.3-70b-instruct-fp8-dynamic?

The most comparable chat models to meta.llama-3.3-70b-instruct-fp8-dynamic 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); amazon.nova-pro-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-3-5-haiku-20241022-v1:0 from AWS Bedrock ($0.80/1M 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 meta.llama-3.3-70b-instruct-fp8-dynamic costs?

meta.llama-3.3-70b-instruct-fp8-dynamic 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 $0.72 and generating 1M output tokens costs $0.72.