DeepSeek-V4-Pro-0813 vs Nemotron 3.5 Lightning (30B A3B)
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. Nemotron 3.5 Lightning (30B A3B) is 6.2x cheaper per token.
DeepSeek · NVIDIA · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1), while Nemotron 3.5 Lightning (30B A3B) is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
On price, Nemotron 3.5 Lightning (30B A3B) is roughly 6.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Nemotron 3.5 Lightning (30B A3B)
- cost matters — it's about 6.2x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1), while Nemotron 3.5 Lightning (30B A3B) is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 8.7x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.05/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 4.3x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Nemotron 3.5 Lightning (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1570.0B more parameters than Nemotron 3.5 Lightning (30B A3B), making it 5233.3% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Nemotron 3.5 Lightning (30B A3B)'s 262,144 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Nemotron 3.5 Lightning (30B A3B) is limited to 262,144 tokens.
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Nemotron 3.5 Lightning (30B A3B) uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Nemotron 3.5 Lightning (30B A3B) was released on 2026-08-11.
DeepSeek-V4-Pro-0813 is 0 month newer than Nemotron 3.5 Lightning (30B A3B).
Aug 13, 2026
1 weeks ago
2d newerAug 11, 2026
2 weeks ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Nemotron 3.5 Lightning (30B A3B) is available from DeepInfra.
DeepSeek-V4-Pro-0813
Nemotron 3.5 Lightning (30B A3B)
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Nemotron 3.5 Lightning (30B A3B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Nemotron 3.5 Lightning (30B A3B).