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DeepSeek-V2.5 vs Nemotron Nano 9B v2

Comparing DeepSeek-V2.5 and Nemotron Nano 9B v2 across benchmarks, pricing, and capabilities.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V2.5 and Nemotron Nano 9B v2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V2.5

  • you want predictable pricing at $0.14/M input and $0.28/M output

Choose Nemotron Nano 9B v2

  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

DeepSeek-V2.5
DeepSeek
Nemotron Nano 9B v2
NVIDIA
Benchmark wins
—
—
Input price
$0.14 / M
— / M
Output price
$0.28 / M
— / M
Context window
8,192
—
Released
May 2024
Aug 2025
License
deepseek
NVIDIA Open Model License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V2.5 and Nemotron Nano 9B v2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

227.1B diff

DeepSeek-V2.5 has 227.1B more parameters than Nemotron Nano 9B v2, making it 2551.7% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
236.0B
DeepSeek-V2.5
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Nemotron Nano 9B v2 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 Nano 9B v2

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 Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 16 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.3 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.0 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.

DeepSeek-V2.5

—

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V2.5 and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

DeepSeek-V2.5
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about DeepSeek-V2.5 vs Nemotron Nano 9B v2.

Which is better, DeepSeek-V2.5 or Nemotron Nano 9B v2?

DeepSeek-V2.5 (DeepSeek) and Nemotron Nano 9B v2 (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-V2.5 compare to Nemotron Nano 9B v2 in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for DeepSeek-V2.5 and Nemotron Nano 9B v2?

DeepSeek-V2.5 supports 8K tokens and Nemotron Nano 9B v2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V2.5 and Nemotron Nano 9B v2?

Key differences include licensing (deepseek vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Nemotron Nano 9B v2?

DeepSeek-V2.5 is developed by DeepSeek and Nemotron Nano 9B v2 is developed by NVIDIA.

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