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Gemini 3.1 Flash-Lite vs Nemotron 70B Instruct: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 3.1 Flash-Lite (Google) and Nemotron 70B Instruct (Nvidia NIM). 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

GoogleGemini 3.1 Flash-LiteNvidia NIMNemotron 70B Instruct

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 3.1 Flash-Lite at $10.00/month.

Cheapest: Gemini 3.1 Flash-Lite at $10.00/mo — save 44.4% vs Nemotron 70B Instruct
Alert
BestGemini 3.1 Flash-Lite
Google$10.00$0.001000$2.50$7.5044.4%Alerts coming soon
Nemotron 70B Instruct
Nvidia NIM$18.00$0.001800$12.00$6.00Alerts 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 3.1 Flash-LiteNemotron 70B InstructCheaper
Input (standard)$0.25/M$1.20/MGemini 3.1 Flash-Lite
Output$1.50/M$1.20/MNemotron 70B Instruct
Cached input$0.03/MN/A
Batch input$0.13/MN/A
Batch output$0.75/MN/A

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.

VolumeGemini 3.1 Flash-LiteMonthlyNemotron 70B InstructMonthlyGemini 3.1 Flash-LitePer requestNemotron 70B InstructPer request
1K requests/mo$1.00$1.80$0.001000$0.001800
10K requests/mo$10.00$18.00$0.001000$0.001800
100K requests/mo$100.00$180.00$0.001000$0.001800
1M requests/mo$1,000.00$1,800.00$0.001000$0.001800

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 3.1 Flash-Lite

by Google

  • Text classification
  • Data extraction
  • Customer support

Input / 1M tokens

$0.25/M

Output / 1M tokens

$1.50/M

Context window

1,048,576

Tier

budget

When to Choose Nemotron 70B Instruct

by Nvidia NIM

  • General chatbot
  • Code generation
  • Data extraction

Input / 1M tokens

$1.20/M

Output / 1M tokens

$1.20/M

Context window

128,000

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.

CapabilityGemini 3.1 Flash-LiteNemotron 70B Instruct
Context window1,048,576 tokens128,000 tokens
Max output tokens65,536 tokens8,192 tokens
Performance tierBudgetMid
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Gemini 3.1 Flash-Lite notes

Preview model. Budget-friendly Gemini 3.1 option with 1M context window.

Nemotron 70B Instruct notes

Nemotron 70B Instruct on NVIDIA NIM. NVIDIA's flagship instruction-tuned model delivering strong reasoning and alignment at mid-tier pricing.

Frequently Asked Questions

Is Gemini 3.1 Flash-Lite cheaper than Nemotron 70B Instruct?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 3.1 Flash-Lite costs $100.00/month versus $180.00/month for Nemotron 70B Instruct — a 44% 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 3.1 Flash-Lite or Nemotron 70B Instruct?

Gemini 3.1 Flash-Lite has a larger context window at 1,048,576 tokens, compared to 128,000 tokens for Nemotron 70B Instruct. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Gemini 3.1 Flash-Lite and Nemotron 70B Instruct support the Batch API?

Gemini 3.1 Flash-Lite supports the Batch API (50% discount for async processing), while Nemotron 70B Instruct does not. If your workload tolerates up to 24-hour latency, routing to Gemini 3.1 Flash-Lite with batch pricing could significantly cut costs versus Nemotron 70B Instruct's standard rate.

Which model offers better prompt caching?

Gemini 3.1 Flash-Lite supports prompt caching at $0.03/M for cached input, while Nemotron 70B Instruct does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 3.1 Flash-Lite's caching capability can substantially reduce effective costs.

What are the best use cases for Gemini 3.1 Flash-Lite vs Nemotron 70B Instruct?

Both models are well-suited for Data extraction. Gemini 3.1 Flash-Lite is particularly strong for Text classification, Customer support. Nemotron 70B Instruct is favored for General chatbot, Code generation. 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 3.1 Flash-Lite vs Nemotron 70B Instruct?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 3.1 Flash-Lite costs $0.001000 per request and Nemotron 70B Instruct costs $0.001800 per request. At 100,000 requests/month, that translates to $100.00 and $180.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 3.1 Flash-Lite vs Nemotron 70B Instruct: Summary

When comparing Gemini 3.1 Flash-Lite and Nemotron 70B Instruct for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemini 3.1 Flash-Lite offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $100.00/month, compared to $180.00/month for Nemotron 70B Instruct.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 3.1 Flash-Lite charges $0.25/M for input tokens and $1.50/M for output tokens. Nemotron 70B Instruct charges $1.20/M input and $1.20/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 3.1 Flash-Lite but not Nemotron 70B Instruct. 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 3.1 Flash-Lite supports up to 1,048,576 tokens in a single request, versus 128,000 tokens for Nemotron 70B Instruct. 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 3.1 Flash-Lite or Nemotron 70B Instruct is recommended.