Calculate the cost of using meta.llama-4-maverick-17b-128e-instruct-fp8 from Oci for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 8,192 tokens
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meta.llama-4-maverick-17b-128e-instruct-fp8 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 1309 out of 2292 chat models by cost and cheaper than 43% of models in this category. meta.llama-4-maverick-17b-128e-instruct-fp8 supports vision, function calling. Its 1,049K-token context window is in the top 6% among chat 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 1,048,576 input tokens. The maximum output length is 8,192 tokens.
At $0.72 per 1M input tokens and $0.72 per 1M output tokens, meta.llama-4-maverick-17b-128e-instruct-fp8 ranks 1309 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-4-maverick-17b-128e-instruct-fp8 is one of 35 Oci chat models, with support for vision, function calling. its 1,049K-token context window places it in the top 6% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs meta.llama-4-maverick-17b-128e-instruct-fp8 |
|---|---|---|---|---|
| amazon.nova-pro-v1:0 | AWS Bedrock | $0.80 | $3.20 | +11% |
| apac.amazon.nova-pro-v1:0 | AWS Bedrock | $0.84 | $3.36 | +17% |
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +4% |
Similar chat models from other providers
Yes. meta.llama-4-maverick-17b-128e-instruct-fp8 costs $0.72 per 1M input tokens compared to amazon.nova-pro-v1:0's $0.80 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
meta.llama-4-maverick-17b-128e-instruct-fp8 input pricing is $0.72 per 1M tokens, which is 31% above the median of $0.55 for chat models. It ranks 1309 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.
Among Oci's 35 chat models, meta.llama-4-maverick-17b-128e-instruct-fp8 ranks 12 by input cost.
The most comparable chat models to meta.llama-4-maverick-17b-128e-instruct-fp8 are: amazon.nova-pro-v1:0 from AWS Bedrock ($0.80/1M input tokens); apac.amazon.nova-pro-v1:0 from AWS Bedrock ($0.84/1M input tokens); gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M 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.
meta.llama-4-maverick-17b-128e-instruct-fp8 supports up to 1,048,576 input tokens, placing it in the top 6% of chat models by context window size (rank 90 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
meta.llama-4-maverick-17b-128e-instruct-fp8 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.
