Compare / Nemotron 3.5 Bolt 74B-A9B vs Qwen3-Next 80B-A3B Thinking
Nemotron 3.5 Bolt 74B-A9B vs Qwen3-Next 80B-A3B Thinking
Updated November 2026
Verdict
Nemotron 3.5 Bolt 74B-A9B scores higher on the Small LM Index: 73.3 vs 63.3. On the 1 benchmark both labs report, Nemotron 3.5 Bolt 74B-A9B wins 1 and Qwen3-Next 80B-A3B Thinking wins 0. Nemotron 3.5 Bolt 74B-A9B is smaller: it needs about 46.9 GB of memory at 4-bit, against 50.8 GB for Qwen3-Next 80B-A3B Thinking. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Nemotron 3.5 Bolt 74B-A9B if…
- you want the strongest model overall
- you have limited memory (about 46.9 GB at 4-bit)
- you need image input
Pick Qwen3-Next 80B-A3B Thinking if…
- you need a permissive license (Apache-2.0)
- you want the more widely used model (more quantized builds and community support)
Specifications
| Nemotron 3.5 Bolt 74B-A9B | Qwen3-Next 80B-A3B Thinking | |
|---|---|---|
| Small LM Index | 73.3 (likely 72–75) | 63.3 (likely 59–67) |
| Lab | NVIDIA · United States | Alibaba (Qwen) · China |
| Released | 2026-10-12 | 2025-09-11 |
| Parameters | 74B (9B active, MoE) | 80B (3B active, MoE) |
| Memory at 4-bit | ~46.9 GB | ~50.8 GB |
| Context window | 262K tokens | 262K tokens |
| Input | text, image | text |
| Reasoning | Hybrid (thinking on/off) | Always thinks |
| License | OpenMDW-1.1 | Apache-2.0 |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 7.7K | 43.8K |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | Nemotron 3.5 Bolt 74B-A9B | Qwen3-Next 80B-A3B Thinking |
|---|---|---|
| MMLU-Pro Knowledge | ≈ 86 | 82.7 |
| GPQA Diamond Knowledge | 88.8 | 77.2 |
| Humanity's Last Exam Reasoning | 28.7 | ≈ 13 |
| AIME Math | ≈ 95 | 87.8 |
| LiveCodeBench Coding | ≈ 84 | 68.7 |
| Terminal-Bench Agentic | 53.9 | — |
| IFBench Instruction following | — | 61.5 |
| AA-LCR Long context | 67.4 | — |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, Nemotron 3.5 Bolt 74B-A9B or Qwen3-Next 80B-A3B Thinking?
Nemotron 3.5 Bolt 74B-A9B scores higher on the Small LM Index: 73.3 vs 63.3. On the 1 benchmark both labs report, Nemotron 3.5 Bolt 74B-A9B wins 1 and Qwen3-Next 80B-A3B Thinking wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Nemotron 3.5 Bolt 74B-A9B is smaller: it needs about 46.9 GB of memory at 4-bit, against 50.8 GB for Qwen3-Next 80B-A3B Thinking.
Which has the longer context window?
Both have a 262K-token context window.
Can I use Nemotron 3.5 Bolt 74B-A9B and Qwen3-Next 80B-A3B Thinking commercially?
Nemotron 3.5 Bolt 74B-A9B is released under OpenMDW-1.1 and Qwen3-Next 80B-A3B Thinking under Apache-2.0. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.
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