Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 3 70B Instruct on AWS Bedrock?
AWS Bedrock offers Llama 3 70B Instruct with pay-as-you-go pricing at $0.99/1M 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 70B Instruct across 17 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="llama3-70b-instruct",llama3-70b-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="llama3-70b-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 70B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| GCP Vertex AI | $1.20 | $3.60 |
| AWS Bedrock | $0.99 | $0.99 |
| Microsoft Foundry | $3.78 | $11.34 |
| NVIDIA NIM | — | — |
| DeepInfra | $0.45 | $0.65 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.99 |
| Output tokens | $0.99 |
Capabilities
About Llama 3 70B Instruct
The Llama 3 70B Instruct model is a large language model with 70 billion parameters, released by Meta on April 18, 2024. It's an instruction-tuned variant optimized for conversational applications, utilizing an advanced auto-regressive transformer architecture. The model excels in following instructions and engaging in dialogue, having been trained on over 15 trillion tokens with a December 2023 knowledge cutoff. It demonstrates superior performance on industry benchmarks, scoring 82.0 on the MMLU (5-shot) test. The model incorporates extensive safety measures and optimizations, including RLHF, to enhance helpfulness and reduce harmful content generation. For more details, visit the model's Hugging Face page [1].
FAQ
What does Llama 3 70B Instruct cost on AWS Bedrock?
On AWS Bedrock, Llama 3 70B Instruct costs $0.99 per 1M input tokens and $0.99 per 1M output tokens.
What is the context window for Llama 3 70B Instruct on AWS Bedrock?
Llama 3 70B Instruct supports a 8,000 token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 3 70B Instruct providers?
Llama 3 70B Instruct is available from 17 providers. The cheapest input pricing is $0.40/1M tokens from Hyperbolic AI Inference.
Who created Llama 3 70B Instruct?
Llama 3 70B Instruct was created by AI at Meta as part of the Llama 3 model family.
Is Llama 3 70B Instruct open source?
Llama 3 70B Instruct is open source according to the seed data.