Model Comparison

DeepSeek-V3.2 (Non-thinking) vs Nemotron 3 Super (120B A12B)

Comparing DeepSeek-V3.2 (Non-thinking) and Nemotron 3 Super (120B A12B) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and Nemotron 3 Super (120B A12B) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Super (120B A12B) costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 2.8x more expensive than Nemotron 3 Super (120B A12B) ($0.10/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 1.2x cheaper than Nemotron 3 Super (120B A12B) ($0.50/1M tokens).

In conclusion, DeepSeek-V3.2 (Non-thinking) is more expensive than Nemotron 3 Super (120B A12B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
NVIDIA
Nemotron 3 Super (120B A12B)
Input tokens$0.10
Output tokens$0.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

565.0B diff

DeepSeek-V3.2 (Non-thinking) has 565.0B more parameters than Nemotron 3 Super (120B A12B), making it 470.8% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
NVIDIA
Nemotron 3 Super (120B A12B)
120.0Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
120.0B
Nemotron 3 Super (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3 Super (120B A12B) accepts 262,144 input tokens compared to DeepSeek-V3.2 (Non-thinking)'s 131,072 tokens. Nemotron 3 Super (120B A12B) can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
NVIDIA
Nemotron 3 Super (120B A12B)
Input262,144 tokens
Output262,144 tokens
Fri May 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Nemotron 3 Super (120B A12B) uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Nemotron 3 Super (120B A12B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Nemotron 3 Super (120B A12B) was released on 2026-03-11.

Nemotron 3 Super (120B A12B) is 3 months newer than DeepSeek-V3.2 (Non-thinking).

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

5 months ago

Nemotron 3 Super (120B A12B)

Mar 11, 2026

2 months ago

3mo newer

Knowledge Cutoff

When training data ends

Nemotron 3 Super (120B A12B) has a documented knowledge cutoff of 2025-06-01, while DeepSeek-V3.2 (Non-thinking)'s cutoff date is not specified.

We can confirm Nemotron 3 Super (120B A12B)'s training data extends to 2025-06-01, but cannot make a direct comparison without DeepSeek-V3.2 (Non-thinking)'s cutoff date.

DeepSeek-V3.2 (Non-thinking)

—

Nemotron 3 Super (120B A12B)

Jun 2025

Provider Availability

DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. Nemotron 3 Super (120B A12B) is available from DeepInfra.

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Nemotron 3 Super (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive output tokens
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
NVIDIA
Nemotron 3 Super (120B A12B)

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs Nemotron 3 Super (120B A12B).

Which is better, DeepSeek-V3.2 (Non-thinking) or Nemotron 3 Super (120B A12B)?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and Nemotron 3 Super (120B A12B) (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2 (Non-thinking) compare to Nemotron 3 Super (120B A12B) in benchmarks?

Nemotron 3 Super (120B A12B) scores HMMT 2025: 94.7%, RULER: 91.8%, AIME 2025: 90.2%, WMT24++: 86.7%, MMLU-Pro: 83.7%.

Is DeepSeek-V3.2 (Non-thinking) cheaper than Nemotron 3 Super (120B A12B)?

Nemotron 3 Super (120B A12B) is 2.8x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. Nemotron 3 Super (120B A12B) costs $0.10/M input and $0.50/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and Nemotron 3 Super (120B A12B)?

DeepSeek-V3.2 (Non-thinking) supports 131K tokens and Nemotron 3 Super (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2 (Non-thinking) and Nemotron 3 Super (120B A12B)?

Key differences include context window (131K vs 262K), input pricing ($0.28 vs $0.10/M), licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Non-thinking) and Nemotron 3 Super (120B A12B)?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and Nemotron 3 Super (120B A12B) is developed by NVIDIA.