Nemotron 3.5 Lightning (30B A3B) vs Qwen3.8 Max: Specs & Benchmark Comparison
| Characteristic | Nemotron 3.5 Lightning (30B A3B) | Qwen3.8 Max |
|---|---|---|
| Company | NVIDIA | Alibaba |
| Release Date | August 11, 2026 | August 2, 2026 |
| Parameters | 30B | 2.4T |
| Multimodal | No | Yes |
| Context (input) | 262K | 1.0M |
| Context (output) | 262K | 131K |
| Input Price / 1M | $0.05 | $2.50 |
| Output Price / 1M | $0.20 | $6.25 |
| Average Score | 0.8 | 0.9 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: Nemotron 3.5 Lightning (30B A3B) — 0.8, Qwen3.8 Max — 0.9.
API Cost
Nemotron 3.5 Lightning (30B A3B) is 35.0x cheaper: input $0.05/1M vs $2.50/1M tokens.
Context Window
Qwen3.8 Max supports a larger context: 1M vs 262K tokens.
Recency
Both models were released around the same time: 8/11/2026 and 8/2/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — Nemotron 3.5 Lightning (30B A3B) or Qwen3.8 Max?
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 Qwen3.8 Max?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $2.50.
Which has a larger context window — Nemotron 3.5 Lightning (30B A3B) or Qwen3.8 Max?
Qwen3.8 Max supports a larger context: 1,000,000 tokens vs 262,100.
The Nemotron 3.5 Lightning (30B A3B) and Qwen3.8 Max 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 Qwen3.8 Max page. See also the complete list of AI model comparisons.