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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 V4 (released 2026-04-24) ships two MIT-licensed MoE variants: V4-Pro (1.6T/49B active) and V4-Flash (284B/13B active), both with 1M-token context and hybrid Compressed Sparse Attention + Heavily Compressed Attention. Three reasoning modes (Non-think / Think High / Think Max). V4-Pro uses only 27% of V3.2's FLOPs and 10% of its KV cache at 1M context. Priced well below GPT-5.5 / Opus 4.7 while matching them on most benchmarks.

$1.74/$3.48per M tokens
Details

Specs Comparison

SpecificationNemotron 3 SuperDeepSeek V4
Context Window1000K1000K
Max Output40K66K
Input (per 1M tokens)$0.40$1.74
Output (per 1M tokens)$2.20$3.48
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 with aggressive KV-cache compression
  • + MIT license — fully open-source, self-hostable
  • + V4-Pro $1.74/$3.48 per MTok — far cheaper than GPT-5.5 and Opus 4.7
  • + New SOTA for open models on SimpleQA-Verified (57.9)
  • + OpenAI + Anthropic API-compatible endpoints
  • + Three reasoning modes tunable per request

Cons

  • − Still trails GPT-5.4 / Gemini 3.1 Pro by 3-6 months on frontier benchmarks
  • − Servers in China (overseas latency, geopolitical concerns)
  • − Text-only — V3's multimodal (image/video) capability not confirmed for V4
  • − V4-Pro self-hosting needs substantial hardware (49B active × FP4/FP8)

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 with aggressive kv-cache compression
  • • Need mit license — fully open-source, self-hostable
  • • Need v4-pro $1.74/$3.48 per mtok — far cheaper than gpt-5.5 and opus 4.7

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

Nemotron 3 Super Details DeepSeek V4 Details

Get Started with Nemotron 3 Super

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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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