Model Comparison

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

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 3.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3.2 (Thinking) outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro, SWE-Bench Verified), while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (AIME 2025).

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

Sun May 24 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 (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 (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 (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
Sun May 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (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 (Thinking) has 653.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2040.6% larger.

DeepSeek
DeepSeek-V3.2 (Thinking)
685.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
685.0B
DeepSeek-V3.2 (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 (Thinking)'s 131,072 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sun May 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (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 (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 (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 (Thinking).

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

5 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

5 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 (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 (Thinking)'s cutoff date.

DeepSeek-V3.2 (Thinking)

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

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

DeepSeek-V3.2 (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
Higher GPQA score (82.4% vs 75.0%)
Higher Humanity's Last Exam score (25.1% vs 15.5%)
Higher MMLU-Pro score (85.0% vs 78.3%)
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 93.1%)

Detailed Comparison

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

FAQ

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

Which is better, DeepSeek-V3.2 (Thinking) or Nemotron 3 Nano (30B A3B)?

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) 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.

How does DeepSeek-V3.2 (Thinking) compare to Nemotron 3 Nano (30B A3B) in benchmarks?

DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is DeepSeek-V3.2 (Thinking) cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 4.7x cheaper for input tokens. DeepSeek-V3.2 (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.

What are the context window sizes for DeepSeek-V3.2 (Thinking) and Nemotron 3 Nano (30B A3B)?

DeepSeek-V3.2 (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.

What are the main differences between DeepSeek-V3.2 (Thinking) and Nemotron 3 Nano (30B A3B)?

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.

Who makes DeepSeek-V3.2 (Thinking) and Nemotron 3 Nano (30B A3B)?

DeepSeek-V3.2 (Thinking) is developed by DeepSeek and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.