Gemini 2.5 Flash-Lite vs Nemotron Nano 9B: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Gemini 2.5 Flash-Lite (Google) and Nemotron Nano 9B (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
Fills in typical token counts for a workload type
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Showing costs for 2 models. Cheapest: Nemotron Nano 9B at $1.20/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestNemotron Nano 9B | Nvidia NIM | $1.20 | $0.000120 | $0.40 | $0.80 | 60.0% | Alerts coming soon |
Gemini 2.5 Flash-Lite | $3.00 | $0.000300 | $1.00 | $2.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Gemini 2.5 Flash-Lite | Nemotron Nano 9B | Cheaper |
|---|---|---|---|
| Input (standard) | $0.10/M | $0.04/M | Nemotron Nano 9B |
| Output | $0.40/M | $0.16/M | Nemotron Nano 9B |
| Cached input | $0.01/M | N/A | — |
| Batch input | $0.05/M | N/A | — |
| Batch output | $0.20/M | N/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.
| Volume | Gemini 2.5 Flash-LiteMonthly | Nemotron Nano 9BMonthly | Gemini 2.5 Flash-LitePer request | Nemotron Nano 9BPer request |
|---|---|---|---|---|
| 1K requests/mo | $0.30 | $0.12 | $0.000300 | $0.000120 |
| 10K requests/mo | $3.00 | $1.20 | $0.000300 | $0.000120 |
| 100K requests/mo | $30.00 | $12.00 | $0.000300 | $0.000120 |
| 1M requests/mo | $300.00 | $120.00 | $0.000300 | $0.000120 |
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 tokensWhen to Choose Gemini 2.5 Flash-Lite
by Google
- Text classification
- Data extraction
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.40/M
Context window
1,048,576
Tier
budget
When to Choose Nemotron Nano 9B
by Nvidia NIM
- Customer support
- Text classification
- Summarization
Input / 1M tokens
$0.04/M
Output / 1M tokens
$0.16/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.
| Capability | Gemini 2.5 Flash-Lite | Nemotron Nano 9B |
|---|---|---|
| Context window | 1,048,576 tokens | 128,000 tokens |
| Max output tokens | 8,192 tokens | 8,192 tokens |
| Performance tier | Budget | Budget |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
| Rate limit (req/min) | 4,000 | Not published |
Gemini 2.5 Flash-Lite notes
Cheapest Gemini 2.5 model. 1M context at budget pricing.
Nemotron Nano 9B notes
Nemotron Nano 9B on NVIDIA NIM. Ultra-low-cost compact model for high-volume tasks requiring fast, efficient inference at minimal per-token cost.
Frequently Asked Questions
Is Gemini 2.5 Flash-Lite cheaper than Nemotron Nano 9B?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Nemotron Nano 9B costs $12.00/month versus $30.00/month for Gemini 2.5 Flash-Lite — a 60% 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 2.5 Flash-Lite or Nemotron Nano 9B?
Gemini 2.5 Flash-Lite has a larger context window at 1,048,576 tokens, compared to 128,000 tokens for Nemotron Nano 9B. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Gemini 2.5 Flash-Lite and Nemotron Nano 9B support the Batch API?
Gemini 2.5 Flash-Lite supports the Batch API (50% discount for async processing), while Nemotron Nano 9B does not. If your workload tolerates up to 24-hour latency, routing to Gemini 2.5 Flash-Lite with batch pricing could significantly cut costs versus Nemotron Nano 9B's standard rate.
Which model offers better prompt caching?
Gemini 2.5 Flash-Lite supports prompt caching at $0.01/M for cached input, while Nemotron Nano 9B does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 2.5 Flash-Lite's caching capability can substantially reduce effective costs.
What are the best use cases for Gemini 2.5 Flash-Lite vs Nemotron Nano 9B?
Both models are well-suited for Text classification. Gemini 2.5 Flash-Lite is particularly strong for Data extraction. Nemotron Nano 9B is favored for Customer support, Summarization. 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 2.5 Flash-Lite vs Nemotron Nano 9B?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 2.5 Flash-Lite costs $0.000300 per request and Nemotron Nano 9B costs $0.000120 per request. At 100,000 requests/month, that translates to $30.00 and $12.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Gemini 2.5 Flash-Lite vs Nemotron Nano 9B: Summary
When comparing Gemini 2.5 Flash-Lite and Nemotron Nano 9B for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Nemotron Nano 9B offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $12.00/month, compared to $30.00/month for Gemini 2.5 Flash-Lite.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 2.5 Flash-Lite charges $0.10/M for input tokens and $0.40/M for output tokens. Nemotron Nano 9B charges $0.04/M input and $0.16/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 2.5 Flash-Lite but not Nemotron Nano 9B. 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 2.5 Flash-Lite supports up to 1,048,576 tokens in a single request, versus 128,000 tokens for Nemotron Nano 9B. 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.
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Relevant Use Cases
See cost recommendations for workloads where Gemini 2.5 Flash-Lite or Nemotron Nano 9B is recommended.