Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 3.1 70B Instruct on AWS Bedrock?
AWS Bedrock offers Llama 3.1 70B Instruct with pay-as-you-go pricing at $0.72/1M 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 70B Instruct across 13 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="llama3.1-70b-instruct",llama3.1-70b-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="llama3.1-70b-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 70B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | — | — |
| OctoAI API (Deprecated) | $0.90 | $0.90 |
| Together AI | $0.88 | $0.88 |
| Fireworks AI | $0.90 | $0.90 |
| NVIDIA NIM | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.72 |
| Output tokens | $0.72 |
Capabilities
About Llama 3.1 70B Instruct
The Llama 3.1 70B Instruct model is a cutting-edge large language model with 70 billion parameters, designed for instruction-following tasks. It features multilingual capabilities, supporting languages like English, German, French, and others. Fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), it excels in understanding and responding to user instructions. The model can handle a context length of up to 128k tokens, making it suitable for complex dialogue systems and applications requiring detailed responses. It outperforms many existing open-source and proprietary models on various industry benchmarks, making it ideal for conversational AI, content generation, and data synthesis tasks. For more details, visit the Hugging Face page [1].
FAQ
What does Llama 3.1 70B Instruct cost on AWS Bedrock?
On AWS Bedrock, Llama 3.1 70B Instruct costs $0.72 per 1M input tokens and $0.72 per 1M output tokens.
What is the context window for Llama 3.1 70B Instruct on AWS Bedrock?
Llama 3.1 70B Instruct supports a 128k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 3.1 70B Instruct providers?
Llama 3.1 70B Instruct is available from 13 providers. The cheapest input pricing is $0.40/1M tokens from Hyperbolic AI Inference.
Who created Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct was created by AI at Meta as part of the Llama 3.1 model family.
Is Llama 3.1 70B Instruct open source?
Llama 3.1 70B Instruct has open weights under Llama 3 Community according to the seed data, but that does not necessarily mean an OSI-approved open-source license.