Model Comparison

DeepSeek-V2.5 vs Nemotron 3 Nano (30B A3B)

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V2.5 outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (SWE-Bench Verified).

Nemotron 3 Nano (30B A3B) significantly outperforms across most 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-V2.5 ($0.14/1M tokens) is 2.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.2x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, DeepSeek-V2.5 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-V2.5
Input tokens$0.14
Output tokens$0.28
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

204.0B diff

DeepSeek-V2.5 has 204.0B more parameters than Nemotron 3 Nano (30B A3B), making it 637.5% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
236.0B
DeepSeek-V2.5
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-V2.5's 8,192 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 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-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 20 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

4 months ago

1.6yr newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while DeepSeek-V2.5'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-V2.5's cutoff date.

DeepSeek-V2.5

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

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
Higher SWE-Bench Verified score (38.8% vs 16.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about DeepSeek-V2.5 vs Nemotron 3 Nano (30B A3B)

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. DeepSeek-V2.5 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-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Nemotron 3 Nano (30B A3B) is 2.3x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.
DeepSeek-V2.5 supports 8K 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 (8K vs 262K), input pricing ($0.14 vs $0.06/M), licensing (deepseek vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.