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Nemotron 3 Super vs DeepSeek V4

Comprehensive comparison between NVIDIA's Nemotron 3 Super and DeepSeek's DeepSeek V4. Compare pricing, performance, features, and user reviews.

nemotron vs deepseeknvidia ai vs deepseekopen source ai 2026

Nemotron 3 Super

NVIDIA

NVIDIA's flagship open-source model for agentic AI, featuring 120B total parameters with 12B active (MoE). Hybrid Mamba-Transformer architecture delivers 5x throughput vs previous Nemotron Super. 1M context window prevents goal drift in complex multi-agent workflows. #1 on DeepResearch Bench.

$0.4/$2.2per M tokens
Details

DeepSeek V4

DeepSeek

DeepSeek's trillion-parameter MoE model with only 32B active parameters. 1M context window, native multimodal (text/image/video), and API pricing at ~1/20th of GPT-5. The fastest adopted open-source model in history, capturing 6% global market share within months.

$0.14/$0.28per M tokens
Details

Specs Comparison

SpecificationNemotron 3 SuperDeepSeek V4
Context Window1000K1000K
Max Output40K66K
Input (per 1M tokens)$0.40$0.14
Output (per 1M tokens)$2.20$0.28
Reasoning
Open Source

Scenario Score Comparison

Nemotron 3 Super

Pros

  • + 1M context window for full workflow state
  • + 5x throughput vs previous Nemotron Super
  • + Open weights under permissive license
  • + #1 on DeepResearch Bench I & II
  • + Multi-token prediction for 3x faster inference

Cons

  • − Text-only (no multimodal support)
  • − Requires high-end hardware for self-hosting
  • − New release, limited community feedback

DeepSeek V4

Pros

  • + 1M token context window
  • + Native multimodal (text/image/video)
  • + Price 1/20th of proprietary models
  • + Open-source & self-hostable
  • + Matches frontier model performance

Cons

  • − Servers in China (latency for overseas users)
  • − Geopolitical supply chain concerns
  • − Self-hosting requires significant hardware

Recommendation

Choose Nemotron 3 Super if you:

  • • Need 1m context window for full workflow state
  • • Need 5x throughput vs previous nemotron super
  • • Need open weights under permissive license

Choose DeepSeek V4 if you:

  • • Need 1m token context window
  • • Need native multimodal (text/image/video)
  • • Need price 1/20th of proprietary models

Based on scores across 0 scenarios, both models perform equally well.

Nemotron 3 Super Details DeepSeek V4 Details

Get Started with Nemotron 3 Super

1Visit the provider's website
2Create an account
3Start using the model

Get Started with DeepSeek V4

1Visit the provider's website
2Create an account
3Start using the model

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