Nemotron 3.5 Lightning (30B A3B) vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | Nemotron 3.5 Lightning (30B A3B) | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | NVIDIA | Alibaba |
| Release Date | August 11, 2026 | September 21, 2025 |
| Parameters | 30B | 33B |
| Multimodal | No | Yes |
| Context (input) | 262K | — |
| Context (output) | 262K | — |
| Input Price / 1M | $0.05 | — |
| Output Price / 1M | $0.20 | — |
| Average Score | 0.8 | 144.5 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.8.
Recency
Nemotron 3.5 Lightning (30B A3B) is newer: released 8/11/2026 vs 9/21/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Nemotron 3.5 Lightning (30B A3B) or Qwen3 VL 32B Thinking?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Nemotron 3.5 Lightning (30B A3B) or Qwen3 VL 32B Thinking?
API pricing data is available on the individual model pages.
Which has a larger context window — Nemotron 3.5 Lightning (30B A3B) or Qwen3 VL 32B Thinking?
Context window data is available on the individual model pages.
The Nemotron 3.5 Lightning (30B A3B) and Qwen3 VL 32B Thinking comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Nemotron 3.5 Lightning (30B A3B) or Qwen3 VL 32B Thinking page. See also the complete list of AI model comparisons.