Input / Prompt
$10.00/ 1M tokens
$0.0100 per 1K tokens
Output / Completion
$50.00/ 1M tokens
$0.0500 per 1K tokens
Prompt Cache Read
$2.50/ 1M tokens
Save 75% vs prompt
Batch Inference
$5.00/ 1M in
Save 50% via Batch API
Price Ratio
1 : 5.0
Prompt to completion factor
Regional Reach
17AWS Regions

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GPT-6 Astra Spend Estimator

Model inference spend by prompt volume, cache hit rate, and batch processing.

Workload Presets:
M tokens
M tokens
30%
Estimated Monthly Spend
$0.00
Fresh Prompts:$0.00
Cached Prompts:$0.00
Completions:$0.00
Active: Input: $10.00/1M ยท Output: $50.00/1M

Key Cost Levers & Architecture

Practical mechanisms to reduce inference costs with GPT-6 Astra on AWS
Prompt CachingSave ~75%

Caches repetitive system instructions, schemas, and document prefixes in memory with 5-minute and extended 1-hour TTL tiers.

  • Read Rate: $2.50 / 1M tokens
  • Write Rate (5m TTL): $12.50 / 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: $5.00 / 1M tokens
  • Batch Output: $25.00 / 1M tokens
  • Ideal for: Offline classification, synthetic data generation, benchmark evals
Cross-Region & Tiers17 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 17 available AWS cloud regions
Baseline: $10.00/1M in17 Global Regions
Showing 5 benchmark regions
AWS RegionPrompt Input $/1MCompletion Output $/1MCache Read $/1MBatch Input $/1MPricing Tier
us-east-1
US East (N. Virginia)
$10.00$50.00โ€”โ€”Baseline
us-west-2
US West (Oregon)
$10.00$50.00โ€”โ€”Baseline
eu-central-1
Europe (Frankfurt)
$10.00$50.00โ€”โ€”Baseline
eu-west-1
Europe (Ireland)
$10.00$50.00โ€”โ€”Baseline
ap-northeast-1
Asia Pacific (Tokyo)
$10.00$50.00โ€”โ€”Baseline
ap-south-1
Asia Pacific (Mumbai)
$10.00$50.00โ€”โ€”Baseline
ap-northeast-3
Asia Pacific (Osaka)
$10.00$50.00โ€”โ€”Baseline
ap-northeast-2
Asia Pacific (Seoul)
$10.00$50.00โ€”โ€”Baseline
ap-southeast-1
Asia Pacific (Singapore)
$10.00$50.00โ€”โ€”Baseline
ap-southeast-2
Asia Pacific (Sydney)
$10.00$50.00โ€”โ€”Baseline
ca-central-1
Canada (Central)
$10.00$50.00โ€”โ€”Baseline
eu-west-2
Europe (London)
$10.00$50.00โ€”โ€”Baseline
eu-west-3
Europe (Paris)
$10.00$50.00โ€”โ€”Baseline
eu-north-1
Europe (Stockholm)
$10.00$50.00โ€”โ€”Baseline
sa-east-1
South America (Sao Paulo)
$10.00$50.00โ€”โ€”Baseline
us-east-2
US East (Ohio)
$10.00$50.00โ€”โ€”Baseline
us-west-1
US West (N. California)
$10.00$50.00โ€”โ€”Baseline

Developer Quickstart

Invoke GPT-6 Astra via Amazon Bedrock Converse API
Python (boto3) ยท Amazon Bedrock Runtime
import boto3

# Amazon Bedrock Converse API invocation
client = boto3.client("bedrock-runtime", region_name="us-east-1")

response = client.converse(
    modelId="openai.gpt-6-astra-v1:0",
    messages=[
        {
            "role": "user",
            "content": [{"text": "Summarize key features and cost levers of GPT-6 Astra."}]
        }
    ],
    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")

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