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Amazon Nova Lite vs GPT-5 mini: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Lite (AWS Bedrock) and GPT-5 mini (OpenAI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 11, 2026

Interactive Cost Calculator

AWS BedrockAmazon Nova LiteOpenAIGPT-5 mini

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Amazon Nova Lite at $1.80/month.

Cheapest: Amazon Nova Lite at $1.80/mo — save 85.6% vs GPT-5 mini
Alert
BestAmazon Nova Lite
AWS Bedrock$1.80$0.000180$0.60$1.2085.6%Alerts coming soon
GPT-5 mini
OpenAI$12.50$0.001250$2.50$10.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeAmazon Nova LiteGPT-5 miniCheaper
Input (standard)$0.06/M$0.25/MAmazon Nova Lite
Output$0.24/M$2.00/MAmazon Nova Lite
Cached inputN/A$0.03/M

Prices last verified: 2026-03-08 – 2026-03-11

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeAmazon Nova LiteMonthlyGPT-5 miniMonthlyAmazon Nova LitePer requestGPT-5 miniPer request
1K requests/mo$0.18$1.25$0.000180$0.001250
10K requests/mo$1.80$12.50$0.000180$0.001250
100K requests/mo$18.00$125.00$0.000180$0.001250
1M requests/mo$180.00$1,250.00$0.000180$0.001250

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose Amazon Nova Lite

by AWS Bedrock

  • Summarization
  • Data extraction
  • Translation

Input / 1M tokens

$0.06/M

Output / 1M tokens

$0.24/M

Context window

300,000

Tier

budget

When to Choose GPT-5 mini

by OpenAI

  • Customer support
  • General chatbot
  • Data extraction

Input / 1M tokens

$0.25/M

Output / 1M tokens

$2.00/M

Context window

400,000

Tier

mid

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityAmazon Nova LiteGPT-5 mini
Context window300,000 tokens400,000 tokens
Max output tokens5,120 tokens128,000 tokens
Performance tierBudgetMid
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningYesNo
Rate limit (req/min)Not published10,000

Amazon Nova Lite notes

Amazon Nova Lite supports image and video inputs. Very cost-effective for multimodal pipelines. Strong choice for large-scale document processing on AWS.

GPT-5 mini notes

1M context window at mid-tier pricing. Good balance of cost and capability.

Frequently Asked Questions

Is Amazon Nova Lite cheaper than GPT-5 mini?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Amazon Nova Lite costs $18.00/month versus $125.00/month for GPT-5 mini — a 86% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, Amazon Nova Lite or GPT-5 mini?

GPT-5 mini has a larger context window at 400,000 tokens, compared to 300,000 tokens for Amazon Nova Lite. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Amazon Nova Lite and GPT-5 mini support the Batch API?

Amazon Nova Lite supports the Batch API (50% discount for async processing), while GPT-5 mini does not. If your workload tolerates up to 24-hour latency, routing to Amazon Nova Lite with batch pricing could significantly cut costs versus GPT-5 mini's standard rate.

Which model offers better prompt caching?

GPT-5 mini supports prompt caching at $0.03/M for cached input, while Amazon Nova Lite does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-5 mini's caching capability can substantially reduce effective costs.

What are the best use cases for Amazon Nova Lite vs GPT-5 mini?

Both models are well-suited for Data extraction. Amazon Nova Lite is particularly strong for Summarization, Translation. GPT-5 mini is favored for Customer support, General chatbot. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.

What is the cost per request for Amazon Nova Lite vs GPT-5 mini?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Lite costs $0.000180 per request and GPT-5 mini costs $0.001250 per request. At 100,000 requests/month, that translates to $18.00 and $125.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Amazon Nova Lite vs GPT-5 mini: Summary

When comparing Amazon Nova Lite and GPT-5 mini for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Amazon Nova Lite offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $18.00/month, compared to $125.00/month for GPT-5 mini.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Amazon Nova Lite charges $0.06/M for input tokens and $0.24/M for output tokens. GPT-5 mini charges $0.25/M input and $2.00/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by GPT-5 mini but not Amazon Nova Lite. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: GPT-5 mini supports up to 400,000 tokens in a single request, versus 300,000 tokens for Amazon Nova Lite. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where Amazon Nova Lite or GPT-5 mini is recommended.