DeepSeek-V4-Pro-0813 vs Nemotron 3.5 Super VL (120B A12B): Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while Nemotron 3.5 Super VL (120B A12B) comes from NVIDIA. DeepSeek-V4-Pro-0813 was released in August 2026, and Nemotron 3.5 Super VL (120B A12B) followed 2 months later in October 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 120 billion for Nemotron 3.5 Super VL (120B A12B).

The two models share 2 published benchmarks. DeepSeek-V4-Pro-0813 leads on 2 of them. The widest gaps are on Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 31.8%; Terminal-Bench 2.1, where DeepSeek-V4-Pro-0813 scores 88.0% against 66.7%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and Nemotron 3.5 Super VL (120B A12B) at 60.9%.

Nemotron 3.5 Super VL (120B A12B) is the cheaper API at $0.20 per million input tokens and $1 per million output tokens, roughly 7 times cheaper than DeepSeek-V4-Pro-0813 at $1.32 and $3.96. DeepSeek-V4-Pro-0813 takes the larger context window at 1M tokens, compared with 262K for Nemotron 3.5 Super VL (120B A12B). DeepSeek-V4-Pro-0813 accepts text as input, while Nemotron 3.5 Super VL (120B A12B) accepts text, images, and video.

CharacteristicDeepSeek-V4-Pro-0813Nemotron 3.5 Super VL (120B A12B)
CompanyDeepSeekNVIDIA
Release DateAugust 13, 2026October 15, 2026
Parameters1.6T120B
MultimodalNoYes
Context (input)1.0M262K
Context (output)393K262K
Input Price / 1M$1.32$0.20
Output Price / 1M$3.96$1.00
Average Score60.6%60.9%
Benchmarks
Humanity's Last Exam60.0%31.8%
Terminal-Bench 2.188.0%66.7%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
Nemotron 3.5 Super VL (120B A12B)
Humanity's Last Exam0.6 vs 0.3
0.6
0.3
Terminal-Bench 2.10.9 vs 0.7
0.9
0.7

Verdict

Nemotron 3.5 Super VL (120B A12B) leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, Nemotron 3.5 Super VL (120B A12B) — 0.6.

API Cost

Nemotron 3.5 Super VL (120B A12B) is 4.4x cheaper: input $0.20/1M vs $1.32/1M tokens.

Context Window

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

Recency

Nemotron 3.5 Super VL (120B A12B) is newer: released 10/15/2026 vs 8/13/2026.

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or Nemotron 3.5 Super VL (120B A12B)?
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 Super VL (120B A12B)?
Nemotron 3.5 Super VL (120B A12B) is cheaper for input: $0.20 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Nemotron 3.5 Super VL (120B A12B)?
DeepSeek-V4-Pro-0813 supports a larger context: 1,048,576 tokens vs 262,144.

The DeepSeek-V4-Pro-0813 and Nemotron 3.5 Super VL (120B A12B) 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 Super VL (120B A12B) page. See also the complete list of AI model comparisons.