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Gemini 2.0 Flash-Lite vs Nemotron Nano 12B VL: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 2.0 Flash-Lite (Google) and Nemotron Nano 12B VL (Nvidia NIM). 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

GoogleGemini 2.0 Flash-LiteNvidia NIMNemotron Nano 12B VL

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-Lite at $2.25/month.

Cheapest: Gemini 2.0 Flash-Lite at $2.25/mo — save 55.0% vs Nemotron Nano 12B VL
Alert
BestGemini 2.0 Flash-Lite
Google$2.25$0.000225$0.75$1.5055.0%Alerts coming soon
Nemotron Nano 12B VL
Nvidia NIM$5.00$0.000500$2.00$3.00Alerts 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 TypeGemini 2.0 Flash-LiteNemotron Nano 12B VLCheaper
Input (standard)$0.08/M$0.20/MGemini 2.0 Flash-Lite
Output$0.30/M$0.60/MGemini 2.0 Flash-Lite
Batch input$0.04/MN/A
Batch output$0.15/MN/A

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.

VolumeGemini 2.0 Flash-LiteMonthlyNemotron Nano 12B VLMonthlyGemini 2.0 Flash-LitePer requestNemotron Nano 12B VLPer request
1K requests/mo$0.22$0.50$0.000225$0.000500
10K requests/mo$2.25$5.00$0.000225$0.000500
100K requests/mo$22.50$50.00$0.000225$0.000500
1M requests/mo$225.00$500.00$0.000225$0.000500

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 Gemini 2.0 Flash-Lite

by Google

  • Text classification
  • Data extraction

Input / 1M tokens

$0.08/M

Output / 1M tokens

$0.30/M

Context window

1,048,576

Tier

budget

When to Choose Nemotron Nano 12B VL

by Nvidia NIM

  • Content Creation
  • Data extraction
  • General chatbot

Input / 1M tokens

$0.20/M

Output / 1M tokens

$0.60/M

Context window

128,000

Tier

budget

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.

CapabilityGemini 2.0 Flash-LiteNemotron Nano 12B VL
Context window1,048,576 tokens128,000 tokens
Max output tokens8,192 tokens8,192 tokens
Performance tierBudgetBudget
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Gemini 2.0 Flash-Lite notes

Lowest cost Google model. No prompt caching support.

Nemotron Nano 12B VL notes

Nemotron Nano 12B VL on NVIDIA NIM. Budget-tier multimodal model supporting vision inputs, optimized for efficient image-and-text inference on NVIDIA hardware.

Frequently Asked Questions

Is Gemini 2.0 Flash-Lite cheaper than Nemotron Nano 12B VL?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 2.0 Flash-Lite costs $22.50/month versus $50.00/month for Nemotron Nano 12B VL — a 55% 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, Gemini 2.0 Flash-Lite or Nemotron Nano 12B VL?

Gemini 2.0 Flash-Lite has a larger context window at 1,048,576 tokens, compared to 128,000 tokens for Nemotron Nano 12B VL. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Gemini 2.0 Flash-Lite and Nemotron Nano 12B VL support the Batch API?

Gemini 2.0 Flash-Lite supports the Batch API (50% discount for async processing), while Nemotron Nano 12B VL does not. If your workload tolerates up to 24-hour latency, routing to Gemini 2.0 Flash-Lite with batch pricing could significantly cut costs versus Nemotron Nano 12B VL's standard rate.

Which model offers better prompt caching?

Neither Gemini 2.0 Flash-Lite nor Nemotron Nano 12B VL currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.

What are the best use cases for Gemini 2.0 Flash-Lite vs Nemotron Nano 12B VL?

Both models are well-suited for Data extraction. Gemini 2.0 Flash-Lite is particularly strong for Text classification. Nemotron Nano 12B VL is favored for Content Creation, 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 Gemini 2.0 Flash-Lite vs Nemotron Nano 12B VL?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 2.0 Flash-Lite costs $0.000225 per request and Nemotron Nano 12B VL costs $0.000500 per request. At 100,000 requests/month, that translates to $22.50 and $50.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 2.0 Flash-Lite vs Nemotron Nano 12B VL: Summary

When comparing Gemini 2.0 Flash-Lite and Nemotron Nano 12B VL for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemini 2.0 Flash-Lite offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $22.50/month, compared to $50.00/month for Nemotron Nano 12B VL.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 2.0 Flash-Lite charges $0.08/M for input tokens and $0.30/M for output tokens. Nemotron Nano 12B VL charges $0.20/M input and $0.60/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.

Context window capacity differs between the two: Gemini 2.0 Flash-Lite supports up to 1,048,576 tokens in a single request, versus 128,000 tokens for Nemotron Nano 12B VL. 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 Gemini 2.0 Flash-Lite or Nemotron Nano 12B VL is recommended.