Jamba-Instruct Pricing & Token Calculator (AI21 Labs)

Input / Prompt

$0.50/ 1M tokens

$0.0005 per 1K tokens

Output / Completion

$0.70/ 1M tokens

$0.0007 per 1K tokens

Prompt Cache Read

$0.13/ 1M tokens

Save 75% vs prompt

Batch Inference

$0.25/ 1M in

Save 50% via Batch API

Price Ratio

1 : 1.4

Prompt to completion factor

Regional Reach

1AWS Regions

Compare 1 regions ↓

Alternatives to Jamba-Instruct

Option	Price vs Jamba-Instruct	Why look at it
Jamba 1.5 Mini Compare →	input-60%-$0.30/1M output-43%-$0.30/1M Standard tier, per 1M tokens	Next step down in price from AI21 Labs (lightweight tier)
Jamba 1.5 Large Compare →	input+300%+$1.50/1M output+1043%+$7.30/1M Standard tier, per 1M tokens	Next step up in price from AI21 Labs (flagship tier)
Jurassic-2 Mid Compare →	input+2400%+$12.00/1M output+1686%+$11.80/1M Standard tier, per 1M tokens	Also from AI21 Labs (balanced tier)
Jurassic-2 Ultra Compare →	input+3660%+$18.30/1M output+2586%+$18.10/1M Standard tier, per 1M tokens	Also from AI21 Labs (flagship tier)

Jamba-Instruct Spend Estimator

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

Prompt Tokens (Millions / month)

M tokens

Completion Tokens (Millions / month)

M tokens

Prompt Cache Hit Rate(75% discount on cached context)

30%

Batch API Mode50% discount on non-realtime async jobs via S3

Estimated Monthly Spend

$0.00

Fresh Prompts:$0.00

Cached Prompts:$0.00

Completions:$0.00

Active: Input: $0.50/1M · Output: $0.70/1M

Key Cost Levers & Architecture

Practical mechanisms to reduce inference costs with Jamba-Instruct 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: $0.13 / 1M tokens
Write Rate (5m TTL): $0.63 / 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: $0.25 / 1M tokens
Batch Output: $0.35 / 1M tokens
Ideal for: Offline classification, synthetic data generation, benchmark evals

Cross-Region & Tiers1 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 1 available AWS cloud regions

Baseline: $0.50/1M in1 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)	$0.50	$0.70	—	—	Baseline

Developer Quickstart

Invoke Jamba-Instruct via Amazon Bedrock Converse API

Python (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="ai21-labs.jamba-instruct-v1:0",
    messages=[
        {
            "role": "user",
            "content": [{"text": "Summarize key features and cost levers of Jamba-Instruct."}]
        }
    ],
    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")