Model Comparison

DeepSeek-V3.2 (Non-thinking) vs Nemotron 3 Nano (30B A3B)

Comparing DeepSeek-V3.2 (Non-thinking) and Nemotron 3 Nano (30B A3B) 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 Nano (30B A3B) 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 Nano (30B A3B) costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 4.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 1.8x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, DeepSeek-V3.2 (Non-thinking) is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

653.0B diff

DeepSeek-V3.2 (Non-thinking) has 653.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2040.6% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to DeepSeek-V3.2 (Non-thinking)'s 131,072 tokens. Nemotron 3 Nano (30B A3B) 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 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Nemotron 3 Nano (30B A3B) 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 Nano (30B A3B)

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 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 0 month newer than DeepSeek-V3.2 (Non-thinking).

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

4 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

4 months ago

2w newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while DeepSeek-V3.2 (Non-thinking)'s cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without DeepSeek-V3.2 (Non-thinking)'s cutoff date.

DeepSeek-V3.2 (Non-thinking)

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. Nemotron 3 Nano (30B A3B) 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 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs Nemotron 3 Nano (30B A3B)

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and Nemotron 3 Nano (30B A3B) (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Nemotron 3 Nano (30B A3B) is 4.7x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.
DeepSeek-V3.2 (Non-thinking) supports 131K tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 262K), input pricing ($0.28 vs $0.06/M), licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.