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DeepSeek-R1 vs Nemotron 3.5 Super VL (120B A12B)

Comparing DeepSeek-R1 and Nemotron 3.5 Super VL (120B A12B) across benchmarks, pricing, and capabilities.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-R1 and Nemotron 3.5 Super VL (120B A12B) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 2.4x 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-R1

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 2.4x cheaper per token
  • 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-R1
DeepSeek
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Benchmark wins
—
—
Input price
$0.55 / M
$0.20 / M
Output price
$2.19 / M
$1.00 / M
Context window
131,072
262,144

Individual benchmarks

0 reported for DeepSeek-R1 · 19 for Nemotron 3.5 Super VL (120B A12B)

No common benchmarks found

DeepSeek-R1 and Nemotron 3.5 Super VL (120B A12B)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 2.8x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 2.2x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Nemotron 3.5 Super VL (120B A12B).*

* 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-R1
Input tokens$0.55
Output tokens$2.19
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

551.0B diff

DeepSeek-R1 has 551.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 459.2% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
671.0B
DeepSeek-R1
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-R1's 131,072 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while DeepSeek-R1 is limited to 131,072 tokens.

DeepSeek
DeepSeek-R1
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-R1 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-R1

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 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-R1

MIT

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 21 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.7 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

1.7yr 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-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

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-R1 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

DeepSeek-R1
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about DeepSeek-R1 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, DeepSeek-R1 or Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-R1 (DeepSeek) and Nemotron 3.5 Super VL (120B A12B) (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

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-R1 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 2.8x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/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-R1 and Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-R1 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-R1 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include context window (131K vs 262K), input pricing ($0.55 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-R1 and Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-R1 is developed by DeepSeek and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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