Skip to main content

Gemini 2.0 Flash vs NVIDIA: Nemotron 3 Ultra: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 2.0 Flash (Google) and NVIDIA: Nemotron 3 Ultra (Nvidia NIM). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Jun 26, 2026

Interactive Cost Calculator

GoogleGemini 2.0 FlashNvidia NIMNVIDIA: Nemotron 3 Ultra

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 81.3% vs NVIDIA: Nemotron 3 Ultra
Alert
BestGemini 2.0 Flash
Google$3.00$0.000300$1.00$2.0081.3%Alerts coming soon
NVIDIA: Nemotron 3 Ultra
Nvidia NIM$16.00$0.001600$5.00$11.00Alerts 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 FlashNVIDIA: Nemotron 3 UltraCheaper
Input (standard)$0.10/M$0.50/MGemini 2.0 Flash
Output$0.40/M$2.20/MGemini 2.0 Flash
Cached input$0.03/MN/A
Batch input$0.05/MN/A
Batch output$0.20/MN/A

Prices last verified: 2026-03-24 – 2026-06-26

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 FlashMonthlyNVIDIA: Nemotron 3 UltraMonthlyGemini 2.0 FlashPer requestNVIDIA: Nemotron 3 UltraPer request
1K requests/mo$0.30$1.60$0.000300$0.001600
10K requests/mo$3.00$16.00$0.000300$0.001600
100K requests/mo$30.00$160.00$0.000300$0.001600
1M requests/mo$300.00$1,600.00$0.000300$0.001600

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

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

When to Choose NVIDIA: Nemotron 3 Ultra

by Nvidia NIM

  • General chatbot

Input / 1M tokens

$0.50/M

Output / 1M tokens

$2.20/M

Context window

1,000,000

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 FlashNVIDIA: Nemotron 3 Ultra
Context window1,048,576 tokens1,000,000 tokens
Max output tokens8,192 tokens16,384 tokens
Performance tierMidBudget
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoYes
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Gemini 2.0 Flash notes

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

Frequently Asked Questions

Is Gemini 2.0 Flash cheaper than NVIDIA: Nemotron 3 Ultra?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 2.0 Flash costs $30.00/month versus $160.00/month for NVIDIA: Nemotron 3 Ultra — a 81% 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 or NVIDIA: Nemotron 3 Ultra?

Gemini 2.0 Flash has a larger context window at 1,048,576 tokens, compared to 1,000,000 tokens for NVIDIA: Nemotron 3 Ultra. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Gemini 2.0 Flash and NVIDIA: Nemotron 3 Ultra support the Batch API?

Gemini 2.0 Flash supports the Batch API (50% discount for async processing), while NVIDIA: Nemotron 3 Ultra does not. If your workload tolerates up to 24-hour latency, routing to Gemini 2.0 Flash with batch pricing could significantly cut costs versus NVIDIA: Nemotron 3 Ultra's standard rate.

Which model offers better prompt caching?

Gemini 2.0 Flash supports prompt caching at $0.03/M for cached input, while NVIDIA: Nemotron 3 Ultra 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 Gemini 2.0 Flash vs NVIDIA: Nemotron 3 Ultra?

Both models are well-suited for General chatbot. Gemini 2.0 Flash is particularly strong for Customer support, Text classification. NVIDIA: Nemotron 3 Ultra is favored for similar workflows. 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 vs NVIDIA: Nemotron 3 Ultra?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 2.0 Flash costs $0.000300 per request and NVIDIA: Nemotron 3 Ultra costs $0.001600 per request. At 100,000 requests/month, that translates to $30.00 and $160.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 2.0 Flash vs NVIDIA: Nemotron 3 Ultra: Summary

When comparing Gemini 2.0 Flash and NVIDIA: Nemotron 3 Ultra 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 $160.00/month for NVIDIA: Nemotron 3 Ultra.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 2.0 Flash charges $0.10/M for input tokens and $0.40/M for output tokens. NVIDIA: Nemotron 3 Ultra charges $0.50/M input and $2.20/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 NVIDIA: Nemotron 3 Ultra. 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 1,000,000 tokens for NVIDIA: Nemotron 3 Ultra. 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 or NVIDIA: Nemotron 3 Ultra is recommended.