Foundation Model · Amazon BedrockGrok FamilyGeneral TierTextMulti-Tier Pricing
Grok 4.3
Amazon Bedrock token pricing and cost optimization reference for Grok 4.3.Rates normalized to USD per 1 Million Tokens ($/1M) with prompt caching and batch API discounts across 5 AWS regions.
ProviderxAI
Maker HQPalo Alto, California, USA
Class / TierGeneral
ModalityText
Prompt CachingSave 92%
Batch APISave 50%
AWS Regions5 Global
Bedrock Model ID
xai.grok-4-3-v1:0Input / Prompt
$1.25/ 1M tokens
$0.0013 per 1K tokens
Output / Completion
$2.50/ 1M tokens
$0.0025 per 1K tokens
Prompt Cache Read
$0.10/ 1M tokens
Save 92% vs prompt
Batch Inference
$0.63/ 1M in
Save 50% via Batch API
Price Ratio
1 : 2.0
Prompt to completion factor
Alternatives to Grok 4.3
Grok 4.3 Spend Estimator
Model inference spend by prompt volume, cache hit rate, and batch processing.
M tokens
M tokens
30%
Estimated Monthly Spend
$0.00
Fresh Prompts:$0.00
Cached Prompts:$0.00
Completions:$0.00
Active: Input: $1.25/1M · Output: $2.50/1M
Key Cost Levers & Architecture
Practical mechanisms to reduce inference costs with Grok 4.3 on AWSPrompt CachingSave ~92%
Caches repetitive system instructions, schemas, and document prefixes in memory with 5-minute and extended 1-hour TTL tiers.
- Read Rate: $0.10 / 1M tokens
- Write Rate (5m TTL): $1.56 / 1M tokens
- Ideal for: Multi-turn conversations, RAG document queries, structured schemas
Batch InferenceSave 50%
Asynchronous bulk processing submitted via Amazon S3 with a standard 24-hour turnaround SLA.
- Batch Input: $0.63 / 1M tokens
- Batch Output: $1.25 / 1M tokens
- Ideal for: Offline classification, synthetic data generation, benchmark evals
Cross-Region & Tiers5 Regions
AWS Bedrock supports standard on-demand inference, priority reserved throughput, and cross-region routing.
- Standard: Lowest latency, pay-per-token with zero commitments
- Cross-Region Routing: Automatically burst traffic to available regional capacity
- GovCloud: Dedicated isolated compliance partitions with +20% uplift
Regional Pricing Matrix
Live rates across all 5 available AWS cloud regionsBaseline: $1.25/1M inGovCloud: $1.50/1M in5 Global Regions
| AWS Region | Prompt Input $/1M | Completion Output $/1M | Cache Read $/1M | Batch Input $/1M | Pricing Tier |
|---|---|---|---|---|---|
| us-east-1 US East (N. Virginia) | $1.25 | $2.50 | $0.20 | $0.63 | Baseline |
| us-west-2 US West (Oregon) | $1.25 | $2.50 | $0.20 | $0.63 | Baseline |
| us-gov-west-1 AWS GovCloud (US-West) | $1.50 | $3.00 | $0.24 | $0.75 | GovCloud (+20%) |
| ap-south-1 Asia Pacific (Mumbai) | $1.50 | $3.00 | $0.24 | $0.75 | +20% vs Baseline |
| us-east-2 US East (Ohio) | $1.25 | $2.50 | $0.20 | $0.63 | Baseline |
No AWS regions found matching your filter.
Developer Quickstart
Invoke Grok 4.3 via Amazon Bedrock Converse APIPython (boto3) · Amazon Bedrock Runtime
import boto3
# Amazon Bedrock Converse API invocation
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="xai.grok-4-3-v1:0",
messages=[
{
"role": "user",
"content": [{"text": "Summarize key features and cost levers of Grok 4.3."}]
}
],
inferenceConfig={
"maxTokens": 1024,
"temperature": 0.7
}
)
output_text = response["output"]["message"]["content"][0]["text"]
usage = response["usage"]
print(f"Response: {output_text}")
print(f"Usage: {usage['inputTokens']} in, {usage['outputTokens']} out")