Input / Prompt
$3.00/ 1M tokens
$0.0030 per 1K tokens
Output / Completion
$15.00/ 1M tokens
$0.0150 per 1K tokens
Prompt Cache Read
$0.30/ 1M tokens
Save 90% vs prompt
Batch Inference
$1.50/ 1M in
Save 50% via Batch API
Price Ratio
1 : 5.0
Prompt to completion factor
Regional Reach
22AWS Regions

Alternatives to Claude Sonnet 4

OptionPrice vs Claude Sonnet 4Why look at it
Claude Sonnet 5.5Compare →
input-33%-$1.00/1M
output-33%-$5.00/1M
Standard tier, per 1M tokens
Next step down in price from Anthropic (flagship tier)
Claude Opus 5.5Compare →
input+33%+$1.00/1M
output+33%+$5.00/1M
Standard tier, per 1M tokens
Next step up in price from Anthropic (flagship tier)
Claude Sonnet 4.6Compare →
inputsame price
outputsame price
Standard tier, per 1M tokens
Same Sonnet line, different version
Claude Opus 5Compare →
input+67%+$2.00/1M
output+67%+$10.00/1M
Standard tier, per 1M tokens
Also from Anthropic (flagship tier)

Claude Sonnet 4 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: $3.00/1M ยท Output: $15.00/1M

Key Cost Levers & Architecture

Practical mechanisms to reduce inference costs with Claude Sonnet 4 on AWS
Prompt CachingSave ~90%

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

  • Read Rate: $0.30 / 1M tokens
  • Write Rate (5m TTL): $3.75 / 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: $1.50 / 1M tokens
  • Batch Output: $7.50 / 1M tokens
  • Ideal for: Offline classification, synthetic data generation, benchmark evals
Long Context (>200k)High-Capacity Tier

Dedicated high-memory execution for enterprise documents and large context windows exceeding 200,000 tokens.

  • Long Context Input: $6.00 / 1M tokens
  • Long Context Output: $22.50 / 1M tokens
  • Ideal for: Full codebase ingest, multi-book synthesis, large video transcripts

Regional Pricing Matrix

Live rates across all 22 available AWS cloud regions
Baseline: $3.00/1M in22 Global Regions
Showing 5 benchmark regions
AWS RegionPrompt Input $/1MCompletion Output $/1MCache Read $/1MBatch Input $/1MPricing Tier
us-east-1
US East (N. Virginia)
$3.00$15.00$0.30$1.50Baseline
us-west-2
US West (Oregon)
$3.00$15.00$0.30$1.50Baseline
eu-central-1
Europe (Frankfurt)
$3.00$15.00$0.30โ€”Baseline
eu-west-1
Europe (Ireland)
$3.00$15.00$0.30$1.50Baseline
ap-northeast-1
Asia Pacific (Tokyo)
$3.00$15.00$0.30$1.50Baseline
ap-south-2
Asia Pacific (Hyderabad)
$3.00$15.00$0.30$1.50Baseline
ap-southeast-5
Asia Pacific (Malaysia)
$3.00$15.00$0.30โ€”Baseline
ap-south-1
Asia Pacific (Mumbai)
$3.00$15.00$0.30$1.50Baseline
ap-northeast-3
Asia Pacific (Osaka)
$3.00$15.00$0.30โ€”Baseline
ap-northeast-2
Asia Pacific (Seoul)
$3.00$15.00$0.30$1.50Baseline
ap-southeast-1
Asia Pacific (Singapore)
$3.00$15.00$0.30$1.50Baseline
ap-southeast-2
Asia Pacific (Sydney)
$3.00$15.00$0.30$1.50Baseline
ap-east-2
Asia Pacific (Taipei)
$3.00$15.00$0.30โ€”Baseline
ap-southeast-7
Asia Pacific (Thailand)
$3.00$15.00$0.30โ€”Baseline
eu-south-1
Europe (Milan)
$3.00$15.00$0.30โ€”Baseline
eu-west-3
Europe (Paris)
$3.00$15.00$0.30โ€”Baseline
eu-south-2
Europe (Spain)
$3.00$15.00$0.30โ€”Baseline
eu-north-1
Europe (Stockholm)
$3.00$15.00$0.30โ€”Baseline
il-central-1
Israel (Tel Aviv)
$3.00$15.00$0.30โ€”Baseline
me-central-1
Middle East (UAE)
$3.00$15.00$0.30โ€”Baseline
us-east-2
US East (Ohio)
$3.00$15.00$0.30$1.50Baseline
us-west-1
US West (N. California)
$3.00$15.00$0.30$1.50Baseline

Developer Quickstart

Invoke Claude Sonnet 4 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="anthropic.claude-sonnet-4-v1:0",
    messages=[
        {
            "role": "user",
            "content": [{"text": "Summarize key features and cost levers of Claude Sonnet 4."}]
        }
    ],
    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")

Compare Claude Sonnet 4 with Alternatives

Open Multi-Model Estimator →
Claude Sonnet 4 vsQwen3 VL 235B A22BAlibaba (Qwen)
Input Rate:$0.53/1M
Output Rate:$2.66/1M
Compare Side-by-Side →
Claude Sonnet 4 vsNova 2.0 OmniAmazon
Input Rate:$0.30/1M
Output Rate:$2.50/1M
Compare Side-by-Side →
Claude Sonnet 4 vsLlama 4 Maverick 17BMeta
Input Rate:$0.24/1M
Output Rate:$0.97/1M
Compare Side-by-Side →