Last refreshed 2026-06-07. Next refresh: weekly.
Why use Llama 4 Maverick 17B Instruct FP8 on AWS Bedrock?
AWS Bedrock offers Llama 4 Maverick 17B Instruct FP8 with pay-as-you-go pricing at $0.24/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Compare Llama 4 Maverick 17B Instruct FP8 across 10 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="llama-4-maverick-17b-128e-instruct-fp8",llama-4-maverick-17b-128e-instruct-fp8Request example
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="llama-4-maverick-17b-128e-instruct-fp8",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
- The endpoint template includes a region segment; set the same region in your SDK/client configuration.
- The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.
Compare Llama 4 Maverick 17B Instruct FP8 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.35 | $1.41 |
| Together AI | $0.27 | $0.85 |
| OpenRouter | $0.15 | $0.60 |
| Fireworks AI | — | — |
| DeepInfra | $0.15 | $0.60 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.24 |
| Output tokens | $0.97 |
Capabilities
About Llama 4 Maverick 17B Instruct FP8
Meta's Llama 4 Maverick 17B with 128 experts, FP8-optimized for cost-efficient inference. Supports native Model Router integration on Microsoft Foundry.
FAQ
What does Llama 4 Maverick 17B Instruct FP8 cost on AWS Bedrock?
On AWS Bedrock, Llama 4 Maverick 17B Instruct FP8 costs $0.24 per 1M input tokens and $0.97 per 1M output tokens.
What is the context window for Llama 4 Maverick 17B Instruct FP8 on AWS Bedrock?
Llama 4 Maverick 17B Instruct FP8 supports a 1m token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 4 Maverick 17B Instruct FP8 providers?
Llama 4 Maverick 17B Instruct FP8 is available from 10 providers. The cheapest input pricing is $0.15/1M tokens from OpenRouter.
Who created Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 was created by AI at Meta as part of the Llama 4 model family.
Is Llama 4 Maverick 17B Instruct FP8 open source?
Llama 4 Maverick 17B Instruct FP8 has open weights under Llama 4 Community according to the seed data, but that does not necessarily mean an OSI-approved open-source license.