Nemotron 3.5 Lightning (30B A3B) vs Sakana Namazu: Specs & Benchmark Comparison
| Characteristic | Nemotron 3.5 Lightning (30B A3B) | Sakana Namazu |
|---|---|---|
| Company | NVIDIA | Sakana AI |
| Release Date | August 11, 2026 | August 3, 2026 |
| Parameters | 30B | — |
| Multimodal | No | Yes |
| Context (input) | 262K | 256K |
| Context (output) | 262K | 256K |
| Input Price / 1M | $0.05 | $0.95 |
| Output Price / 1M | $0.20 | $4.00 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Pro | 0.8 | 0.9 |
Visual Benchmark Comparison
Nemotron 3.5 Lightning (30B A3B)
Sakana Namazu
MMLU-Pro0.8 vs 0.9
0.8
0.9
Verdict
Nemotron 3.5 Lightning (30B A3B) leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Nemotron 3.5 Lightning (30B A3B) — 0.8, Sakana Namazu — 0.9.
API Cost
Nemotron 3.5 Lightning (30B A3B) is 19.8x cheaper: input $0.05/1M vs $0.95/1M tokens.
Context Window
Nemotron 3.5 Lightning (30B A3B) supports a larger context: 262K vs 256K tokens.
Recency
Both models were released around the same time: 8/11/2026 and 8/3/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — Nemotron 3.5 Lightning (30B A3B) or Sakana Namazu?
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 Sakana Namazu?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $0.95.
Which has a larger context window — Nemotron 3.5 Lightning (30B A3B) or Sakana Namazu?
Nemotron 3.5 Lightning (30B A3B) supports a larger context: 262,100 tokens vs 256,000.
The Nemotron 3.5 Lightning (30B A3B) and Sakana Namazu 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 Sakana Namazu page. See also the complete list of AI model comparisons.