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Nemotron Nano 9B vs Qwen3.5 Flash (OpenRouter): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Nemotron Nano 9B (Nvidia NIM) and Qwen3.5 Flash (OpenRouter) (OpenRouter). 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

Nvidia NIMNemotron Nano 9BOpenRouterQwen3.5 Flash (OpenRouter)

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: Nemotron Nano 9B at $1.20/month.

Cheapest: Nemotron Nano 9B at $1.20/mo — save 60.0% vs Qwen3.5 Flash (OpenRouter)
Alert
BestNemotron Nano 9B
Nvidia NIM$1.20$0.000120$0.40$0.8060.0%Alerts coming soon
Qwen3.5 Flash (OpenRouter)
OpenRouter$3.00$0.000300$1.00$2.00Alerts 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 TypeNemotron Nano 9BQwen3.5 Flash (OpenRouter)Cheaper
Input (standard)$0.04/M$0.10/MNemotron Nano 9B
Output$0.16/M$0.40/MNemotron Nano 9B

Prices last verified: 2026-03-10 – 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.

VolumeNemotron Nano 9BMonthlyQwen3.5 Flash (OpenRouter)MonthlyNemotron Nano 9BPer requestQwen3.5 Flash (OpenRouter)Per request
1K requests/mo$0.12$0.30$0.000120$0.000300
10K requests/mo$1.20$3.00$0.000120$0.000300
100K requests/mo$12.00$30.00$0.000120$0.000300
1M requests/mo$120.00$300.00$0.000120$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 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

When to Choose Qwen3.5 Flash (OpenRouter)

by OpenRouter

  • Customer support
  • Text classification
  • General chatbot

Input / 1M tokens

$0.10/M

Output / 1M tokens

$0.40/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.

CapabilityNemotron Nano 9BQwen3.5 Flash (OpenRouter)
Context window128,000 tokens1,000,000 tokens
Max output tokens8,192 tokens65,536 tokens
Performance tierBudgetBudget
Vision / image inputNoNo
Function callingYesYes
JSON modeYesYes
Prompt cachingNoNo
Batch API (50% discount)NoNo
Extended reasoningNoNo
Fine-tuningNoNo

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.

Qwen3.5 Flash (OpenRouter) notes

OpenRouter offers 200+ models — showing top 15 unique models not available from other listed providers. Prices include OpenRouter markup.

Frequently Asked Questions

Is Nemotron Nano 9B cheaper than Qwen3.5 Flash (OpenRouter)?

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 Qwen3.5 Flash (OpenRouter) — 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, Nemotron Nano 9B or Qwen3.5 Flash (OpenRouter)?

Qwen3.5 Flash (OpenRouter) has a larger context window at 1,000,000 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 Nemotron Nano 9B and Qwen3.5 Flash (OpenRouter) support the Batch API?

Neither Nemotron Nano 9B nor Qwen3.5 Flash (OpenRouter) currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.

Which model offers better prompt caching?

Neither Nemotron Nano 9B nor Qwen3.5 Flash (OpenRouter) 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 Nemotron Nano 9B vs Qwen3.5 Flash (OpenRouter)?

Both models are well-suited for Customer support, Text classification. Nemotron Nano 9B is particularly strong for Summarization. Qwen3.5 Flash (OpenRouter) is favored for 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 Nemotron Nano 9B vs Qwen3.5 Flash (OpenRouter)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Nemotron Nano 9B costs $0.000120 per request and Qwen3.5 Flash (OpenRouter) costs $0.000300 per request. At 100,000 requests/month, that translates to $12.00 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Nemotron Nano 9B vs Qwen3.5 Flash (OpenRouter): Summary

When comparing Nemotron Nano 9B and Qwen3.5 Flash (OpenRouter) 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 Qwen3.5 Flash (OpenRouter).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Nemotron Nano 9B charges $0.04/M for input tokens and $0.16/M for output tokens. Qwen3.5 Flash (OpenRouter) 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.

Context window capacity differs between the two: Qwen3.5 Flash (OpenRouter) supports up to 1,000,000 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.

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 Nemotron Nano 9B or Qwen3.5 Flash (OpenRouter) is recommended.