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Nemotron 3 Super vs Qwen 3.5

Comprehensive comparison between NVIDIA's Nemotron 3 Super and Alibaba (Qwen)'s Qwen 3.5. Compare pricing, performance, features, and user reviews.

nemotron vs qwennvidia vs alibaba ainemotron 3 super comparison

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

Qwen 3.5

Alibaba (Qwen)

Alibaba's flagship open-source MoE model with 397B total parameters (17B active per pass). Apache 2.0 licensed for commercial use. Supports 201 languages with native vision capabilities. Best open-weight model for local deployment.

$0.39/$1.56per M tokens
Details

Specs Comparison

SpecificationNemotron 3 SuperQwen 3.5
Context Window1000K262K
Max Output40K32K
Input (per 1M tokens)$0.40$0.39
Output (per 1M tokens)$2.20$1.56
Reasoning
Open Source

Scenario Score Comparison

Coding
—
vs
87
Writing
—
vs
82

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

Qwen 3.5

Pros

  • + Open source (Apache 2.0)
  • + Self-hostable with vLLM
  • + 201 language support
  • + MoE efficiency (17B active)
  • + Cheapest API among frontier-class
  • + Strong vision/multimodal performance

Cons

  • − Weaker on hard coding tasks vs Opus/GPT
  • − Requires significant VRAM for local hosting
  • − Quantization affects complex reasoning
  • − Smaller context than GPT-5.4/Opus 4.6

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 Qwen 3.5 if you:

  • • Need open source (apache 2.0)
  • • Need self-hostable with vllm
  • • Need 201 language support

Based on scores across 2 scenarios, Qwen 3.5 performs better overall.

Nemotron 3 Super Details Qwen 3.5 Details

Get Started with Nemotron 3 Super

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

Get Started with Qwen 3.5

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

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