GPT-5.6 Sol vs Nemotron 3.5 Lightning (30B A3B): Specs & Benchmark Comparison
| Characteristic | GPT-5.6 Sol | Nemotron 3.5 Lightning (30B A3B) |
|---|---|---|
| Company | OpenAI | NVIDIA |
| Release Date | July 9, 2026 | August 11, 2026 |
| Parameters | — | 30B |
| Multimodal | Yes | No |
| Context (input) | 1.1M | 262K |
| Context (output) | 128K | 262K |
| Input Price / 1M | $5.00 | $0.05 |
| Output Price / 1M | $30.00 | $0.20 |
| Average Score | 0.6 | 0.8 |
| Benchmarks | ||
| GPQA | 0.9 | 0.8 |
Visual Benchmark Comparison
GPT-5.6 Sol
Nemotron 3.5 Lightning (30B A3B)
GPQA0.9 vs 0.8
0.9
0.8
Verdict
Nemotron 3.5 Lightning (30B A3B) leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.6 Sol — 0.6, Nemotron 3.5 Lightning (30B A3B) — 0.8.
API Cost
Nemotron 3.5 Lightning (30B A3B) is 140.0x cheaper: input $0.05/1M vs $5.00/1M tokens.
Context Window
GPT-5.6 Sol supports a larger context: 1M vs 262K tokens.
Recency
Nemotron 3.5 Lightning (30B A3B) is newer: released 8/11/2026 vs 7/9/2026.
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Frequently Asked Questions
Which is better for coding — GPT-5.6 Sol or Nemotron 3.5 Lightning (30B A3B)?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GPT-5.6 Sol or Nemotron 3.5 Lightning (30B A3B)?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $5.00.
Which has a larger context window — GPT-5.6 Sol or Nemotron 3.5 Lightning (30B A3B)?
GPT-5.6 Sol supports a larger context: 1,050,000 tokens vs 262,100.
The GPT-5.6 Sol and Nemotron 3.5 Lightning (30B A3B) comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.6 Sol or Nemotron 3.5 Lightning (30B A3B) page. See also the complete list of AI model comparisons.