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Nemotron Nano 12B VL vs Qwen3 32B (Groq): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Nemotron Nano 12B VL (Nvidia NIM) and Qwen3 32B (Groq) (Groq). 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 12B VLGroqQwen3 32B (Groq)

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 12B VL at $5.00/month.

Cheapest: Nemotron Nano 12B VL at $5.00/mo — save 14.5% vs Qwen3 32B (Groq)
Alert
BestNemotron Nano 12B VL
Nvidia NIM$5.00$0.000500$2.00$3.0014.5%Alerts coming soon
Qwen3 32B (Groq)
Groq$5.85$0.000585$2.90$2.95Alerts 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 12B VLQwen3 32B (Groq)Cheaper
Input (standard)$0.20/M$0.29/MNemotron Nano 12B VL
Output$0.60/M$0.59/MQwen3 32B (Groq)

Prices last verified: 2026-03-06 – 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 12B VLMonthlyQwen3 32B (Groq)MonthlyNemotron Nano 12B VLPer requestQwen3 32B (Groq)Per request
1K requests/mo$0.50$0.58$0.000500$0.000585
10K requests/mo$5.00$5.85$0.000500$0.000585
100K requests/mo$50.00$58.50$0.000500$0.000585
1M requests/mo$500.00$585.00$0.000500$0.000585

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 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

When to Choose Qwen3 32B (Groq)

by Groq

  • General chatbot
  • Code generation

Input / 1M tokens

$0.29/M

Output / 1M tokens

$0.59/M

Context window

131,072

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.

CapabilityNemotron Nano 12B VLQwen3 32B (Groq)
Context window128,000 tokens131,072 tokens
Max output tokens8,192 tokens8,192 tokens
Performance tierBudgetMid
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingNoNo
Batch API (50% discount)NoNo
Extended reasoningNoYes
Fine-tuningNoNo
Rate limit (req/min)Not published30

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.

Qwen3 32B (Groq) notes

Qwen3 32B with reasoning capabilities on Groq hardware.

Frequently Asked Questions

Is Nemotron Nano 12B VL cheaper than Qwen3 32B (Groq)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Nemotron Nano 12B VL costs $50.00/month versus $58.50/month for Qwen3 32B (Groq) — a 15% 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 12B VL or Qwen3 32B (Groq)?

Qwen3 32B (Groq) has a larger context window at 131,072 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 Nemotron Nano 12B VL and Qwen3 32B (Groq) support the Batch API?

Neither Nemotron Nano 12B VL nor Qwen3 32B (Groq) 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 12B VL nor Qwen3 32B (Groq) 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 12B VL vs Qwen3 32B (Groq)?

Both models are well-suited for General chatbot. Nemotron Nano 12B VL is particularly strong for Content Creation, Data extraction. Qwen3 32B (Groq) is favored for 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 Nemotron Nano 12B VL vs Qwen3 32B (Groq)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Nemotron Nano 12B VL costs $0.000500 per request and Qwen3 32B (Groq) costs $0.000585 per request. At 100,000 requests/month, that translates to $50.00 and $58.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Nemotron Nano 12B VL vs Qwen3 32B (Groq): Summary

When comparing Nemotron Nano 12B VL and Qwen3 32B (Groq) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Nemotron Nano 12B VL offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $50.00/month, compared to $58.50/month for Qwen3 32B (Groq).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Nemotron Nano 12B VL charges $0.20/M for input tokens and $0.60/M for output tokens. Qwen3 32B (Groq) charges $0.29/M input and $0.59/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 32B (Groq) supports up to 131,072 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 Nemotron Nano 12B VL or Qwen3 32B (Groq) is recommended.