Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 3.1 8B Instruct on AWS Bedrock?
AWS Bedrock offers Llama 3.1 8B Instruct with pay-as-you-go pricing at $0.22/1M 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 3.1 8B Instruct across 14 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="llama3.1-8b-instruct",llama3.1-8b-instructRequest 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="llama3.1-8b-instruct",
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 3.1 8B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OctoAI API (Deprecated) | $0.15 | $0.15 |
| Together AI | $0.18 | $0.18 |
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
| GroqCloud | $0.05 | $0.08 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.22 |
| Output tokens | $0.22 |
Capabilities
About Llama 3.1 8B Instruct
The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks. Ideal for commercial and research applications such as conversational agents and content generation, the model can be accessed on Hugging Face .
FAQ
What does Llama 3.1 8B Instruct cost on AWS Bedrock?
On AWS Bedrock, Llama 3.1 8B Instruct costs $0.22 per 1M input tokens and $0.22 per 1M output tokens.
What is the context window for Llama 3.1 8B Instruct on AWS Bedrock?
Llama 3.1 8B Instruct supports a 128k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 3.1 8B Instruct providers?
Llama 3.1 8B Instruct is available from 14 providers. The cheapest input pricing is $0.02/1M tokens from OpenRouter.
Who created Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct was created by AI at Meta as part of the Llama 3.1 model family.
Is Llama 3.1 8B Instruct open source?
Llama 3.1 8B Instruct is open source according to the seed data.