Last refreshed 2026-07-09. Next refresh: weekly.
Why use Grok 4.3 on AWS Bedrock?
AWS Bedrock offers Grok 4.3 with pay-as-you-go pricing at $1.25/1M 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 Grok 4.3 across 5 providers to find the best fit for your use caseInput / 1M
$1.25
Output / 1M
$2.50
Cache
read $0.20
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install boto3Auth
export AWS_ACCESS_KEY_ID=...Call
import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="xai.grok-4.3",Model ID
xai.grok-4.3Request 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="xai.grok-4.3",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use provider model ID "xai.grok-4.3", not the LLMReference slug "grok-4.3".
- 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 Grok 4.3 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| xAI Console | $1.25 | $2.50 |
| OpenRouter | $1.25 | $2.50 |
| Microsoft Foundry | — | — |
| Vercel AI Gateway | $1.25 | $2.50 |
| AWS Bedrock | $1.25 | $2.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.25 |
| Output tokens | $2.50 |
Capabilities
VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching
About Grok 4.3
xAI's Grok 4.3 is the current flagship API chat model for agentic tool calling and instruction following. xAI lists text and image input, text output, configurable reasoning, a 1,000,000 token context window, cached-input pricing, function calling, and structured outputs.
Get Started
Model Specs
Released2026-05-06
Parameters~0.5T
Context1m
Knowledge cutoff2024-11