Calculate the cost of using meta.llama4-scout-17b-instruct-v1:0 from AWS Bedrock for your AI applications
Pricing data last updated:
Mode: Chat
Max: 10,000,000 tokens
Max: 8,192 tokens
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meta.llama4-scout-17b-instruct-v1:0 is a chat model from AWS Bedrock, one of 460 chat models they offer. It is priced at $0.17 per 1M input tokens and $0.66 per 1M output tokens, ranking 876 out of 3778 chat models by cost and cheaper than 77% of models in this category. meta.llama4-scout-17b-instruct-v1:0 supports function calling. Its 10,000K-token context window is in the top 0% 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 10,000,000 input tokens. The maximum output length is 8,192 tokens.
At $0.17 per 1M input tokens and $0.66 per 1M output tokens, meta.llama4-scout-17b-instruct-v1:0 ranks 876 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 77% of models in this category.
meta.llama4-scout-17b-instruct-v1:0 is one of 460 AWS Bedrock chat models, with support for function calling. its 10,000K-token context window places it in the top 0% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs meta.llama4-scout-17b-instruct-v1:0 |
|---|---|---|---|---|
| Mistral-7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | -12% |
| Mixtral-8x7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | -12% |
| gpt-oss-120b | Azure | $0.15 | $0.60 | -12% |
Similar chat models from other providers
No. meta.llama4-scout-17b-instruct-v1:0 costs $0.17 per 1M input tokens while Mistral-7B-Instruct-v0.1 costs $0.15 per 1M input tokens, making Mistral-7B-Instruct-v0.1 12% more affordable for input. However, meta.llama4-scout-17b-instruct-v1:0 may offer different capabilities or performance characteristics that justify the price difference.
meta.llama4-scout-17b-instruct-v1:0 input pricing is $0.17 per 1M tokens, which is 72% below the median of $0.60 for chat models. It ranks 876 out of 3778 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.66 per 1M tokens compared to the median of $1.75.
Among AWS Bedrock's 460 chat models, meta.llama4-scout-17b-instruct-v1:0 ranks 65 by input cost.
The most comparable chat models to meta.llama4-scout-17b-instruct-v1:0 are: Mistral-7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); Mixtral-8x7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); gpt-oss-120b from Azure ($0.15/1M input tokens); gpt-5.4-nano from Azure ($0.20/1M 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.llama4-scout-17b-instruct-v1:0 supports up to 10,000,000 input tokens, placing it in the top 0% of chat models by context window size (rank 3 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
meta.llama4-scout-17b-instruct-v1:0 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 $0.17 and generating 1M output tokens costs $0.66.