The AI arena is free today

Open Superagent

DeepSeek-V3.2-Speciale vs Nemotron 3.5 Super VL (120B A12B)

DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B) are closely matched at 33.8 and 35.0 on the LLM Stats Score. DeepSeek-V3.2-Speciale is 1.3x cheaper per token.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B) are closely matched on the overall LLM Stats Score at 33.8 and 35.0.

The models split the 2 individual benchmarks reported for both models evenly.

On price, DeepSeek-V3.2-Speciale is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3.2-Speciale

  • cost matters — it's about 1.3x cheaper per token

Choose Nemotron 3.5 Super VL (120B A12B)

  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V3.2-Speciale
DeepSeek
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
33.8
#115
35.0
#108
Reasoning
32.4
#122
36.2
#94
Coding
18.6
#128
21.0
#108
Agents
10.9
#134
16.5
#99
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.28 / M
$0.20 / M
Output price
$0.42 / M
$1.00 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V3.2-Speciale
Nemotron 3.5 Super VL (120B A12B)
Math
34.2#50
28.1#101
Tool use
10.2#144
11.0#133
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for DeepSeek-V3.2-Speciale · 19 for Nemotron 3.5 Super VL (120B A12B)

2 shared

DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (SWE-Bench Verified), while Nemotron 3.5 Super VL (120B A12B) is better at 1 benchmark (Humanity's Last Exam).

Both models are evenly matched across the benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 1.4x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 2.4x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Nemotron 3.5 Super VL (120B A12B) is more expensive than DeepSeek-V3.2-Speciale.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

565.0B diff

DeepSeek-V3.2-Speciale has 565.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 470.8% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2-Speciale

MIT

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 11 months newer than DeepSeek-V3.2-Speciale.

DeepSeek-V3.2-Speciale

Dec 1, 2025

10 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

10mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Speciale
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Nemotron 3.5 Super VL (120B A12B).

Which is better, DeepSeek-V3.2-Speciale or Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B) are closely matched on the LLM Stats Score at 33.8 and 35.0. DeepSeek-V3.2-Speciale is made by DeepSeek and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3.2-Speciale compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

Is DeepSeek-V3.2-Speciale cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 1.4x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-V3.2-Speciale supports 131K tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (33.8 vs 35.0), context window (131K vs 262K), input pricing ($0.28 vs $0.20/M), multimodal support (no vs yes), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

Related comparisons