Foundation Model ยท Amazon BedrockMultimodalMulti-Tier Pricing
Nova 2.0 Omni
Amazon Bedrock token pricing and cost optimization reference for Nova 2.0 Omni.Rates normalized to USD per 1 Million Tokens ($/1M) with prompt caching and batch API discounts across 27 AWS regions.
ProviderAmazon
ModalityMultimodal
Prompt CachingSave 75%
Batch APISave 50%
AWS Regions27 Global
Bedrock Model ID
amazon.nova-2-0-omni-v1:0Input / Prompt
$0.20/ 1M tokens
$0.0002 per 1K tokens
Output / Completion
$1.30/ 1M tokens
$0.0013 per 1K tokens
Prompt Cache Read
$0.05/ 1M tokens
Save 75% vs prompt
Batch Inference
$0.10/ 1M in
Save 50% via Batch API
Price Ratio
1 : 6.5
Prompt to completion factor
Nova 2.0 Omni 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: $0.20/1M ยท Output: $1.30/1M
Key Cost Levers & Architecture
Practical mechanisms to reduce inference costs with Nova 2.0 Omni on AWSPrompt CachingSave ~75%
Caches repetitive system instructions, schemas, and document prefixes in memory with a 5-minute TTL.
- Read Rate: $0.05 / 1M tokens
- Write Rate: $0.25 / 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: $0.10 / 1M tokens
- Batch Output: $0.65 / 1M tokens
- Ideal for: Offline classification, synthetic data generation, benchmark evals
Cross-Region & Tiers27 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 27 available AWS cloud regionsBaseline: $0.20/1M inGovCloud: $1.90/1M in27 Global Regions
| AWS Region | Prompt Input | Completion Output | Cache Read | Batch Input | Pricing Tier |
|---|---|---|---|---|---|
| $0.20/1M | $1.40/1M | โ/1M | โ/1M | Baseline | |
| $0.30/1M | $1.40/1M | โ/1M | โ/1M | +50% vs Baseline | |
| $0.70/1M | $3.30/1M | โ/1M | โ/1M | +250% vs Baseline | |
| $0.20/1M | $1.50/1M | โ/1M | โ/1M | Baseline | |
| $0.30/1M | $22.70/1M | โ/1M | โ/1M | +50% vs Baseline | |
| $0.50/1M | $2.60/1M | โ/1M | โ/1M | +150% vs Baseline | |
| $0.70/1M | $1.70/1M | โ/1M | โ/1M | +250% vs Baseline | |
| $0.60/1M | $22.00/1M | โ/1M | โ/1M | +200% vs Baseline | |
| $1.20/1M | $23.30/1M | โ/1M | โ/1M | +500% vs Baseline | |
| $0.60/1M | $48.00/1M | โ/1M | โ/1M | +200% vs Baseline | |
| $0.70/1M | $3.40/1M | โ/1M | โ/1M | +250% vs Baseline | |
| $1.10/1M | $21.30/1M | โ/1M | โ/1M | +450% vs Baseline | |
| $0.60/1M | $24.00/1M | โ/1M | โ/1M | +200% vs Baseline | |
| $0.70/1M | $95.70/1M | โ/1M | โ/1M | +250% vs Baseline | |
| $0.30/1M | $5.10/1M | โ/1M | โ/1M | +50% vs Baseline | |
| $0.20/1M | $49.80/1M | โ/1M | โ/1M | Baseline | |
| $0.20/1M | $3.50/1M | โ/1M | โ/1M | Baseline | |
| $0.20/1M | $2.00/1M | โ/1M | โ/1M | Baseline | |
| $0.40/1M | $102.70/1M | โ/1M | โ/1M | +100% vs Baseline | |
| $1.90/1M | $44.00/1M | โ/1M | โ/1M | +850% vs Baseline | |
| $0.60/1M | $22.00/1M | โ/1M | โ/1M | +200% vs Baseline | |
| $0.70/1M | $88.70/1M | โ/1M | โ/1M | +250% vs Baseline | |
| $0.50/1M | $1.30/1M | โ/1M | โ/1M | +150% vs Baseline | |
| $1.90/1M | $42.70/1M | โ/1M | โ/1M | +850% vs Baseline | |
| $0.50/1M | $1.30/1M | โ/1M | โ/1M | +150% vs Baseline | |
| $0.60/1M | $1.40/1M | โ/1M | โ/1M | +200% vs Baseline | |
| $0.20/1M | $1.80/1M | โ/1M | โ/1M | Baseline |
No AWS regions found matching your filter.
Developer Quickstart
Invoke Nova 2.0 Omni via Amazon Bedrock Converse APIPython (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="amazon.nova-2-0-omni-v1:0",
messages=[
{
"role": "user",
"content": [{"text": "Summarize key features and cost levers of Nova 2.0 Omni."}]
}
],
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 Nova 2.0 Omni with Alternatives
Open Multi-Model Estimator →Nova 2.0 Omni vsQwen3 VL 235B A22BAlibaba (Qwen)
Input Rate:$0.26/1M
Output Rate:$1.33/1M
Nova 2.0 Omni vsClaude 3 OpusAnthropic
Input Rate:$15.00/1M
Output Rate:$75.00/1M
Nova 2.0 Omni vsClaude 3.5 SonnetAnthropic
Input Rate:$3.00/1M
Output Rate:$15.00/1M