Model Comparison

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

DeepSeek-V3.2-Speciale shows notably better performance in the majority of benchmarks. Nemotron 3 Nano (30B A3B) is 3.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Speciale outperforms in 2 benchmarks (Humanity's Last Exam, SWE-Bench Verified), while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (AIME 2025).

DeepSeek-V3.2-Speciale shows notably better performance in the majority of benchmarks.

Thu Apr 16 2026 • llm-stats.com

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-Speciale ($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-Speciale ($0.42/1M tokens) is 1.8x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, DeepSeek-V3.2-Speciale 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
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
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-Speciale has 653.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2040.6% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
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-Speciale's 131,072 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Speciale 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-Speciale

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-Speciale 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-Speciale.

DeepSeek-V3.2-Speciale

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-Speciale'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-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

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

DeepSeek-V3.2-Speciale

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
Higher Humanity's Last Exam score (30.6% vs 15.5%)
Higher SWE-Bench Verified score (73.1% vs 38.8%)
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (99.2% vs 96.0%)

Detailed Comparison

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

FAQ

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

DeepSeek-V3.2-Speciale shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Speciale is made by DeepSeek and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. 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-Speciale 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-Speciale 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-Speciale is developed by DeepSeek and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.