Nemotron 3 Super vs Qwen3 32B (Groq): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Nemotron 3 Super (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 27, 2026
Interactive Cost Calculator
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 3 Super at $3.50/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestNemotron 3 Super | Nvidia NIM | $3.50 | $0.000350 | $1.00 | $2.50 | 40.2% | Alerts coming soon |
Qwen3 32B (Groq) | Groq | $5.85 | $0.000585 | $2.90 | $2.95 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Nemotron 3 Super | Qwen3 32B (Groq) | Cheaper |
|---|---|---|---|
| Input (standard) | $0.10/M | $0.29/M | Nemotron 3 Super |
| Output | $0.50/M | $0.59/M | Nemotron 3 Super |
Prices last verified: 2026-03-06 – 2026-03-27
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 | Nemotron 3 SuperMonthly | Qwen3 32B (Groq)Monthly | Nemotron 3 SuperPer request | Qwen3 32B (Groq)Per request |
|---|---|---|---|---|
| 1K requests/mo | $0.35 | $0.58 | $0.000350 | $0.000585 |
| 10K requests/mo | $3.50 | $5.85 | $0.000350 | $0.000585 |
| 100K requests/mo | $35.00 | $58.50 | $0.000350 | $0.000585 |
| 1M requests/mo | $350.00 | $585.00 | $0.000350 | $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 tokensWhen to Choose Nemotron 3 Super
by Nvidia NIM
- General chatbot
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.50/M
Context window
262,144
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.
| Capability | Nemotron 3 Super | Qwen3 32B (Groq) |
|---|---|---|
| Context window | 262,144 tokens | 131,072 tokens |
| Max output tokens | 4,096 tokens | 8,192 tokens |
| Performance tier | Budget | Mid |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | No | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | Not published | 30 |
Qwen3 32B (Groq) notes
Qwen3 32B with reasoning capabilities on Groq hardware.
Frequently Asked Questions
Is Nemotron 3 Super cheaper than Qwen3 32B (Groq)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Nemotron 3 Super costs $35.00/month versus $58.50/month for Qwen3 32B (Groq) — a 40% 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 3 Super or Qwen3 32B (Groq)?
Nemotron 3 Super has a larger context window at 262,144 tokens, compared to 131,072 tokens for Qwen3 32B (Groq). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Nemotron 3 Super and Qwen3 32B (Groq) support the Batch API?
Neither Nemotron 3 Super 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 3 Super 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 3 Super vs Qwen3 32B (Groq)?
Both models are well-suited for General chatbot. Nemotron 3 Super is particularly strong for overlapping tasks. 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 3 Super vs Qwen3 32B (Groq)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Nemotron 3 Super costs $0.000350 per request and Qwen3 32B (Groq) costs $0.000585 per request. At 100,000 requests/month, that translates to $35.00 and $58.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Nemotron 3 Super vs Qwen3 32B (Groq): Summary
When comparing Nemotron 3 Super and Qwen3 32B (Groq) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Nemotron 3 Super offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $35.00/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 3 Super charges $0.10/M for input tokens and $0.50/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: Nemotron 3 Super supports up to 262,144 tokens in a single request, versus 131,072 tokens for Qwen3 32B (Groq). 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.
Related Comparisons
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 3 Super or Qwen3 32B (Groq) is recommended.