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Nemotron 3 Super vs Llama 4 Maverick

Comprehensive comparison between NVIDIA's Nemotron 3 Super and Meta's Llama 4 Maverick. Compare pricing, performance, features, and user reviews.

nemotron vs llamanvidia vs meta aiopen source llm comparison

Specs Comparison

SpecificationNemotron 3 SuperLlama 4 Maverick
Context Window1000K1049K
Max Output40K16K
Input (per 1M tokens)$0.40$0.15
Output (per 1M tokens)$2.20$0.60
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

Llama 4 Maverick

Pros

  • + Extremely affordable ($0.15/$0.60)
  • + 1M context window
  • + Native multimodal (text + image)
  • + Open source (Llama 4 Community License)
  • + High throughput MoE architecture

Cons

  • Coding performance below Claude/GPT
  • Benchmark gaming controversy
  • 16K max output limit
  • Knowledge cutoff August 2024

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 Llama 4 Maverick if you:

  • Need extremely affordable ($0.15/$0.60)
  • Need 1m context window
  • Need native multimodal (text + image)

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

Get Started with Nemotron 3 Super

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

Get Started with Llama 4 Maverick

2Or self-host (open source)

💡 Open source - can be self-hosted or used via API providers.

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