Our pickQwen (Alibaba)
Nemotron (Nvidia)
Tier-list head-to-head. Qwen (Alibaba) takes the A-tier slot — here's the breakdown.
Spec sheet
| Qwen (Alibaba) | Nemotron (Nvidia) | |
|---|---|---|
| Tier | A-tierwin | B-tier |
| Overall score | 8.8 / 10win | 7.8 / 10 |
| Free tier | Yes | Yes |
| Starting price | $0 | $0 |
| Best for | Developers who want frontier-tier open weights with Apache 2. | Teams running on Nvidia hardware (TensorRT-LLM, NIM) who need efficient long-context reasoning. |
| Last reviewed | 2026-04-27 | 2026-04-19 |
Head-to-head
Rated 1-10 on the same rubric across all 130 tools we cover.
Vibe check
How each tool actually sounds when you talk to it.
“The multilingual Alibaba all-rounder”
“Nvidia's enterprise-tuned model”
What you'll pay
Look past the headline number -- entry-tier limits drive most cost surprises.
Free tier available
Free tier available
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% |
The decision
Use-case anchors and category strengths, side by side.
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)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)Bottom line
Qwen (Alibaba) is the clear winner: 8.8/10 (A-tier) versus 7.8/10 (B-tier). Nemotron (Nvidia) isn't a bad tool, but on every category that drives the overall score, Qwen (Alibaba) comes out ahead. The tier gap is repeatable -- not methodology noise -- and the day-to-day experience reflects it.
Pricing-wise, both tools have a free tier (Qwen (Alibaba) starts $0, Nemotron (Nvidia) starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.
By use case: pick Qwen (Alibaba) when developers who want frontier-tier open weights with apache 2. Pick Nemotron (Nvidia) when teams running on nvidia hardware (tensorrt-llm, nim) who need efficient long-context reasoning. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Qwen (Alibaba)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Nemotron (Nvidia)'s lane, the score gap matters less than the fit.
Bottom line: Qwen (Alibaba) is the better tool for most people right now. Pick Nemotron (Nvidia) only when teams running on nvidia hardware (tensorrt-llm, nim) who need efficient long-context reasoning -- that's its lane, and inside that lane it still earns its place.
Keep digging
Full Qwen (Alibaba) review
Tier A · 8.8/10
Full Nemotron (Nvidia) review
Tier B · 7.8/10
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Built from our daily AI-tool sweep, last touched April 27, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.