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Amazon Nova Pro vs Gemini 2.0 Flash: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Pro (AWS Bedrock) and Gemini 2.0 Flash (Google). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 24, 2026

Interactive Cost Calculator

AWS BedrockAmazon Nova ProGoogleGemini 2.0 Flash

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: Gemini 2.0 Flash at $3.00/month.

Cheapest: Gemini 2.0 Flash at $3.00/mo — save 87.5% vs Amazon Nova Pro
Alert
BestGemini 2.0 Flash
Google$3.00$0.000300$1.00$2.0087.5%Alerts coming soon
Amazon Nova Pro
AWS Bedrock$24.00$0.002400$8.00$16.00Alerts 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 ProGemini 2.0 FlashCheaper
Input (standard)$0.80/M$0.10/MGemini 2.0 Flash
Output$3.20/M$0.40/MGemini 2.0 Flash
Cached inputN/A$0.03/M
Batch inputN/A$0.05/M
Batch outputN/A$0.20/M

Prices last verified: 2026-03-11 – 2026-03-24

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 ProMonthlyGemini 2.0 FlashMonthlyAmazon Nova ProPer requestGemini 2.0 FlashPer request
1K requests/mo$2.40$0.30$0.002400$0.000300
10K requests/mo$24.00$3.00$0.002400$0.000300
100K requests/mo$240.00$30.00$0.002400$0.000300
1M requests/mo$2,400.00$300.00$0.002400$0.000300

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 Pro

by AWS Bedrock

  • Data extraction
  • Rag Retrieval
  • Content Creation

Input / 1M tokens

$0.80/M

Output / 1M tokens

$3.20/M

Context window

300,000

Tier

mid

When to Choose Gemini 2.0 Flash

by Google

  • General chatbot
  • Customer support
  • Text classification

Input / 1M tokens

$0.10/M

Output / 1M tokens

$0.40/M

Context window

1,048,576

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 ProGemini 2.0 Flash
Context window300,000 tokens1,048,576 tokens
Max output tokens5,120 tokens8,192 tokens
Performance tierMidMid
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)YesYes
Extended reasoningNoNo
Fine-tuningYesNo
Rate limit (req/min)Not published4,000

Amazon Nova Pro notes

Amazon's own frontier model. Supports vision, video, and document inputs. Best Amazon-native option for multimodal enterprise workloads.

Gemini 2.0 Flash notes

Supports real-time streaming, image generation, and native audio I/O.

Frequently Asked Questions

Is Amazon Nova Pro cheaper than Gemini 2.0 Flash?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 2.0 Flash costs $30.00/month versus $240.00/month for Amazon Nova Pro — a 88% 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 Pro or Gemini 2.0 Flash?

Gemini 2.0 Flash has a larger context window at 1,048,576 tokens, compared to 300,000 tokens for Amazon Nova Pro. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Amazon Nova Pro and Gemini 2.0 Flash support the Batch API?

Yes — both Amazon Nova Pro and Gemini 2.0 Flash support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.

Which model offers better prompt caching?

Gemini 2.0 Flash supports prompt caching at $0.03/M for cached input, while Amazon Nova Pro does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 2.0 Flash's caching capability can substantially reduce effective costs.

What are the best use cases for Amazon Nova Pro vs Gemini 2.0 Flash?

Amazon Nova Pro is best suited for Data extraction, Rag Retrieval, Content Creation, while Gemini 2.0 Flash is optimized for General chatbot, Customer support, Text classification. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for Amazon Nova Pro vs Gemini 2.0 Flash?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Pro costs $0.002400 per request and Gemini 2.0 Flash costs $0.000300 per request. At 100,000 requests/month, that translates to $240.00 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Amazon Nova Pro vs Gemini 2.0 Flash: Summary

When comparing Amazon Nova Pro and Gemini 2.0 Flash for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemini 2.0 Flash offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $30.00/month, compared to $240.00/month for Amazon Nova Pro.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Amazon Nova Pro charges $0.80/M for input tokens and $3.20/M for output tokens. Gemini 2.0 Flash charges $0.10/M input and $0.40/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 Gemini 2.0 Flash but not Amazon Nova Pro. 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: Gemini 2.0 Flash supports up to 1,048,576 tokens in a single request, versus 300,000 tokens for Amazon Nova Pro. 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 Pro or Gemini 2.0 Flash is recommended.