Nemotron 3 Super (free) is free for input tokens while DeepSeek V3.2 costs $0.25 per 1M tokens.
API cost decision in 10 seconds
🔥DeepSeek V3.2 vs 🔥Nemotron 3 Super (free)
Pick Nemotron 3 Super (free) when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron 3 Super (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.44 for DeepSeek V3.2, saving $0.44 (100% lower).
Cost-first pickNemotron 3 Super (free)
Context-first pickNemotron 3 Super (free)
Sample savings$0.44100%
10x traffic gap$4.41
Nemotron 3 Super (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.41. Use the calculator below to replace the sample workload with your own token volume.
Nemotron 3 Super (free) is free for output tokens while DeepSeek V3.2 costs $0.38 per 1M tokens.
Nemotron 3 Super (free) has 131.07K more context (2x larger).
Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $0.44.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Nemotron 3 Super (free) has the lower input price; Nemotron 3 Super (free) has the lower output price; Nemotron 3 Super (free) offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $0 for Nemotron 3 Super (free).
Choose DeepSeek V3.2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Nemotron 3 Super (free) when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.44 for DeepSeek V3.2, saving $0.44 (100% lower).
- Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $0.44.
- Nemotron 3 Super (free) is free for input tokens while DeepSeek V3.2 costs $0.25 per 1M tokens.
- Nemotron 3 Super (free) is free for output tokens while DeepSeek V3.2 costs $0.38 per 1M tokens.
- Nemotron 3 Super (free) has 131.07K more context (2x larger).
| Feature | 🔥DeepSeek V3.2 (DeepSeek) | 🔥Nemotron 3 Super (free) (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.252 | $0 |
| Completion Price per 1M tokens | $0.378 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.44 | $0 |
| Context Window | 131.07K | 262.14K |
| Release Date | 2025-12-01 | 2026-03-11 |
| Popularity Rank current rank | #7 | #12 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Super (free) | On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.44 for DeepSeek V3.2, saving $0.44 (100% lower). |
| High-volume input processing | Nemotron 3 Super (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3 Super (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nemotron 3 Super (free) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsNVIDIA catalog
Check other NVIDIA models with comparable pricing, context, or release timing.
Open NVIDIA modelsDeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...