Foundation Model · Amazon BedrockPalmyra FamilyGeneral TierText
Palmyra X5
Amazon Bedrock token pricing and cost optimization reference for Palmyra X5.Rates normalized to USD per 1 Million Tokens ($/1M) with prompt caching and batch API discounts across 4 AWS regions.
ProviderWriter
Maker HQSan Francisco, California, USA
Class / TierGeneral
ModalityText
Prompt CachingSave 75%
Batch APISave 50%
AWS Regions4 Global
Bedrock Model ID
writer.palmyra-x5-v1:0Input / Prompt
$0.60/ 1M tokens
$0.0006 per 1K tokens
Output / Completion
$6.00/ 1M tokens
$0.0060 per 1K tokens
Prompt Cache Read
$0.15/ 1M tokens
Save 75% vs prompt
Batch Inference
$0.30/ 1M in
Save 50% via Batch API
Price Ratio
1 : 10.0
Prompt to completion factor
Alternatives to Palmyra X5
| Option | Price vs Palmyra X5 | Why look at it |
|---|---|---|
| Writer Palmyra Vision 7BCompare → | input-75%-$0.45/1M output-90%-$5.40/1M Standard tier, per 1M tokens | Next step down in price from Writer (lightweight tier) |
| Palmyra X4Compare → | input+317%+$1.90/1M output+67%+$4.00/1M Standard tier, per 1M tokens | Next step up in price from Writer |
Palmyra X5 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: $0.60/1M · Output: $6.00/1M
Key Cost Levers & Architecture
Practical mechanisms to reduce inference costs with Palmyra X5 on AWSPrompt CachingSave ~75%
Caches repetitive system instructions, schemas, and document prefixes in memory with 5-minute and extended 1-hour TTL tiers.
- Read Rate: $0.15 / 1M tokens
- Write Rate (5m TTL): $0.75 / 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: $0.30 / 1M tokens
- Batch Output: $3.00 / 1M tokens
- Ideal for: Offline classification, synthetic data generation, benchmark evals
Cross-Region & Tiers4 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 4 available AWS cloud regionsBaseline: $0.60/1M in4 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) | $0.60 | $6.00 | — | — | Baseline |
| us-west-2 US West (Oregon) | $0.60 | $6.00 | — | — | Baseline |
| us-east-2 US East (Ohio) | $0.60 | $6.00 | — | — | Baseline |
| us-west-1 US West (N. California) | $0.60 | $6.00 | — | — | Baseline |
No AWS regions found matching your filter.
Developer Quickstart
Invoke Palmyra X5 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="writer.palmyra-x5-v1:0",
messages=[
{
"role": "user",
"content": [{"text": "Summarize key features and cost levers of Palmyra X5."}]
}
],
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")