Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 2 13B Chat on AWS Bedrock?
AWS Bedrock offers Llama 2 13B Chat with pay-as-you-go pricing at $0.75/1M 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 2 13B Chat across 12 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="llama2-13b-chat",llama2-13b-chatRequest 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="llama2-13b-chat",
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 2 13B Chat Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Alibaba Cloud PAI-EAS | — | — |
| AWS Bedrock | $0.75 | $1.00 |
| Microsoft Foundry | $0.81 | $0.94 |
| GCP Vertex AI | $0.16 | $0.48 |
| Cloudflare Workers AI | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.75 |
| Output tokens | $1.00 |
Capabilities
About Llama 2 13B Chat
The Llama 2 13B Chat model is a 13 billion parameter generative text model developed by Meta, optimized for conversational applications. Released on July 18, 2023, it's part of the Llama 2 family and excels in dialogue scenarios. The model leverages supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to generate coherent and contextually relevant responses. Trained on 2 trillion tokens from diverse public sources, it outperforms many open-source chat models and matches popular closed-source models in helpfulness and safety. This model is ideal for AI engineers working on chatbots, virtual assistants, and customer service automation. For more details, visit the model's Hugging Face page [1].
FAQ
What does Llama 2 13B Chat cost on AWS Bedrock?
On AWS Bedrock, Llama 2 13B Chat costs $0.75 per 1M input tokens and $1 per 1M output tokens.
What is the context window for Llama 2 13B Chat on AWS Bedrock?
Llama 2 13B Chat supports a 4,000 token context window on AWS Bedrock.
How does AWS Bedrock compare to other Llama 2 13B Chat providers?
Llama 2 13B Chat is available from 12 providers. The cheapest input pricing is $0.10/1M tokens from Replicate API.
Who created Llama 2 13B Chat?
Llama 2 13B Chat was created by AI at Meta as part of the Llama 2 model family.
Is Llama 2 13B Chat open source?
Llama 2 13B Chat is open source according to the seed data.