API cost decision in 10 seconds

Nemotron 3 Super vs DeepSeek V3.2 Speciale

Pick Nemotron 3 Super when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Super when budget and context both matter.

On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.5 for DeepSeek V3.2 Speciale, saving $0.19 (37.3% lower).

Cost-first pickNemotron 3 Super
Context-first pickNemotron 3 Super
Sample savings$0.1937.3%
10x traffic gap$1.87

Nemotron 3 Super is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.87. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3 Super stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3 SuperDeepSeek V3.2 Speciale
Input-heavy / RAG5M input + 500K outputNemotron 3 Super$0.68$1.65
Balanced workload1M input + 1M outputNemotron 3 Super$0.54$0.72
Output-heavy chatbot1M input + 5M outputNemotron 3 Super$2.34$2.44
Cheaper input Nemotron 3 Super $0.09 vs $0.287 / 1M

Nemotron 3 Super is $0.2 cheaper per 1M input tokens (68.6% lower; 3.19x difference).

Cheaper output DeepSeek V3.2 Speciale $0.45 vs $0.431 / 1M

DeepSeek V3.2 Speciale is $0.02 cheaper per 1M output tokens (4.2% lower; 1.04x difference).

Larger context Nemotron 3 Super 1M vs 163.84K

Nemotron 3 Super has 836.16K more context (6.1x larger).

Sample workload Nemotron 3 Super $0.32 vs $0.5

Nemotron 3 Super is $0.19 cheaper on the standard workload (37.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Super Calculating… Estimated API cost
DeepSeek V3.2 Speciale Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Nemotron 3 Super has the lower input price; DeepSeek V3.2 Speciale has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.32 for Nemotron 3 Super and $0.5 for DeepSeek V3.2 Speciale.

Best Fit

Choose Nemotron 3 Super when you care most about lower input-token price, and larger context window.

Choose DeepSeek V3.2 Speciale when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.5 for DeepSeek V3.2 Speciale, saving $0.19 (37.3% lower).
  • Nemotron 3 Super is $0.19 cheaper on the standard workload (37.3% lower).
  • Nemotron 3 Super is $0.2 cheaper per 1M input tokens (68.6% lower; 3.19x difference).
  • DeepSeek V3.2 Speciale is $0.02 cheaper per 1M output tokens (4.2% lower; 1.04x difference).
  • Nemotron 3 Super has 836.16K more context (6.1x larger).
Head-to-Head Specs
FeatureNemotron 3 Super
(NVIDIA)
DeepSeek V3.2 Speciale
(DeepSeek)
Input Price
prompt tokens per 1M
$0.09$0.287
Completion Price
per 1M tokens
$0.45$0.431
Sample Workload Cost
1M input + 500K output
$0.32$0.5
Context Window1M163.84K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3 SuperOn the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.5 for DeepSeek V3.2 Speciale, saving $0.19 (37.3% lower).
High-volume input processingNemotron 3 SuperLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2 SpecialeLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3 SuperA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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NVIDIA catalog

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DeepSeek catalog

Check other DeepSeek models with comparable pricing, context, or release timing.

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Nemotron 3 Super

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...

DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...