DeepSeek-V4-Flash-0423 vs Nemotron 3.5 Lightning (30B A3B): Specs & Benchmark Comparison

CharacteristicDeepSeek-V4-Flash-0423Nemotron 3.5 Lightning (30B A3B)
CompanyDeepSeekNVIDIA
Release DateApril 23, 2026August 11, 2026
Parameters284B30B
MultimodalNoNo
Context (input)1.0M262K
Context (output)131K262K
Input Price / 1M$0.14$0.05
Output Price / 1M$0.28$0.20
Average Score0.90.8
Benchmarks
GPQA0.90.8

Visual Benchmark Comparison

DeepSeek-V4-Flash-0423
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: DeepSeek-V4-Flash-0423 — 0.9, Nemotron 3.5 Lightning (30B A3B) — 0.8.

API Cost

Nemotron 3.5 Lightning (30B A3B) is 1.7x cheaper: input $0.05/1M vs $0.14/1M tokens.

Context Window

DeepSeek-V4-Flash-0423 supports a larger context: 1M vs 262K tokens.

Recency

Nemotron 3.5 Lightning (30B A3B) is newer: released 8/11/2026 vs 4/23/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-0423 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-Flash-0423 or Nemotron 3.5 Lightning (30B A3B)?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $0.14.
Which has a larger context window — DeepSeek-V4-Flash-0423 or Nemotron 3.5 Lightning (30B A3B)?
DeepSeek-V4-Flash-0423 supports a larger context: 1,000,000 tokens vs 262,100.

The DeepSeek-V4-Flash-0423 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-Flash-0423 or Nemotron 3.5 Lightning (30B A3B) page. See also the complete list of AI model comparisons.