DeepSeek-V4-Pro-0813 vs Nemotron 3.5 Lightning (30B A3B): Specs & Benchmark Comparison

CharacteristicDeepSeek-V4-Pro-0813Nemotron 3.5 Lightning (30B A3B)
CompanyDeepSeekNVIDIA
Release DateAugust 13, 2026August 11, 2026
Parameters1.6T30B
MultimodalNoNo
Context (input)1.0M262K
Context (output)393K262K
Input Price / 1M$1.32$0.05
Output Price / 1M$3.96$0.20
Average Score0.80.8

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, Nemotron 3.5 Lightning (30B A3B) — 0.8.

API Cost

Nemotron 3.5 Lightning (30B A3B) is 21.1x cheaper: input $0.05/1M vs $1.32/1M tokens.

Context Window

DeepSeek-V4-Pro-0813 supports a larger context: 1M vs 262K tokens.

Recency

Both models were released around the same time: 8/13/2026 and 8/11/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 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 — DeepSeek-V4-Pro-0813 or Nemotron 3.5 Lightning (30B A3B)?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Nemotron 3.5 Lightning (30B A3B)?
DeepSeek-V4-Pro-0813 supports a larger context: 1,000,000 tokens vs 262,100.

The DeepSeek-V4-Pro-0813 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 DeepSeek-V4-Pro-0813 or Nemotron 3.5 Lightning (30B A3B) page. See also the complete list of AI model comparisons.