Qwen (Alibaba) vs Nemotron (Nvidia)
Which one should you pick? Here's the full breakdown.
Qwen (Alibaba)
Alibaba's open-weights family -- Qwen3.5, Qwen3-Coder-Next, Qwen3-VL, Qwen3-Max. Apache 2.0 flagship sizes.
Nemotron (Nvidia)
Nvidia's open-weights family -- hybrid Mamba-Transformer MoE architecture, optimized for efficient reasoning on Nvidia hardware
| Category | Qwen (Alibaba) | Nemotron (Nvidia) |
|---|---|---|
| Ease of Use | 7.0 | 6.5 |
| Output Quality | 9.0 | 8.0 |
| Value | 10.0 | 8.0 |
| Features | 9.0 | 8.5 |
| Overall | 8.8 | 7.8 |
Pricing Comparison
| Feature | Qwen (Alibaba) | Nemotron (Nvidia) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
Qwen3.5-397B MoE vs Nemotron 3 Ultra (253B)
| Benchmark | Qwen (Alibaba) | Nemotron (Nvidia) |
|---|---|---|
| MMLU-Pro | 83.5% | 79.8% |
| GPQA Diamond | 78.2% | 70.5% |
| AIME 2025 | 87% | 84.5% |
| HumanEval | 92.5% | 89.6% |
Which Should You Pick?
Pick Qwen (Alibaba) if...
- ✓Higher output quality (9 vs 8)
- ✓Better value for money (10/10)
- ✓Stronger on graduate-level science questions (+7.7% on GPQA Diamond)
Developers who want frontier-tier open weights with Apache 2.0 licensing. Qwen3-Coder-Next is arguably the best local coding model; Qwen3.5-397B is a top-3 open generalist.
Visit Qwen (Alibaba)Pick Nemotron (Nvidia) if...
Teams running on Nvidia hardware (TensorRT-LLM, NIM) who need efficient long-context reasoning. Nemotron 3 Super is a standout for its 8 GB VRAM footprint with strong reasoning.
Visit Nemotron (Nvidia)Our Verdict
Qwen (Alibaba) is the clear winner here with 8.8/10 vs 7.8/10. Nemotron (Nvidia) isn't bad, but Qwen (Alibaba) outperforms it across the board. Pick Nemotron (Nvidia) only if teams running on nvidia hardware (tensorrt-llm, nim) who need efficient long-context reasoning.