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Nemotron 3.5 Super VL (120B A12B) vs o1-preview

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 16.3. Nemotron 3.5 Super VL (120B A12B) is 65.6x cheaper per token.

NVIDIA · OpenAI · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 16.3, ranking #108 overall.

In the 2 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 65.6x 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 Nemotron 3.5 Super VL (120B A12B)

  • overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 65.6x 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
  • you need open weights you can self-host or fine-tune

Choose o1-preview

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

Core performance indexes
35.0
#108
16.3
#244
36.2
#94
16.5
#237
21.0
#108
-3.6
#276
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.20 / M
$15.00 / M
Output price
$1.00 / M
$60.00 / M
Context window
262,144
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron 3.5 Super VL (120B A12B)
o1-preview
28.1#101
20.1#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Nemotron 3.5 Super VL (120B A12B) · 8 for o1-preview

2 shared

Nemotron 3.5 Super VL (120B A12B) outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o1-preview is better at 0 benchmarks.

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most 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

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens) is 75.0x cheaper than o1-preview ($15.00/1M tokens).

For output processing, Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens) is 60.0x cheaper than o1-preview ($60.00/1M tokens).

In conclusion, o1-preview 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
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to o1-preview's 128,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while o1-preview is limited to 32,768 tokens.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 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 o1-preview 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.

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

o1-preview

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3.5 Super VL (120B A12B) is licensed under OpenMDW License v1.1, while o1-preview uses a proprietary license.

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

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15, while o1-preview was released on 2024-09-12.

Nemotron 3.5 Super VL (120B A12B) is 25 months newer than o1-preview.

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

2.1yr newer
o1-preview

Sep 12, 2024

2.1 years ago

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

Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra. o1-preview is available from OpenAI, Azure.

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M

o1-preview

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
azure logo
Azure
Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Nemotron 3.5 Super VL (120B A12B) and o1-preview side-by-side, then vote on the output you prefer.

Nemotron 3.5 Super VL (120B A12B)
✓ Preferred
o1-preview
Open in Playground

FAQ

Common questions about Nemotron 3.5 Super VL (120B A12B) vs o1-preview.

Which is better, Nemotron 3.5 Super VL (120B A12B) or o1-preview?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 16.3. Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA and o1-preview is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron 3.5 Super VL (120B A12B) compare to o1-preview 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%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.

Is Nemotron 3.5 Super VL (120B A12B) cheaper than o1-preview?

Nemotron 3.5 Super VL (120B A12B) is 75.0x cheaper for input tokens. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra. o1-preview costs $15.00/M input and $60.00/M output via openai.

What are the context window sizes for Nemotron 3.5 Super VL (120B A12B) and o1-preview?

Nemotron 3.5 Super VL (120B A12B) supports 262K tokens and o1-preview supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron 3.5 Super VL (120B A12B) and o1-preview?

Key differences include LLM Stats Score (35.0 vs 16.3), context window (262K vs 128K), input pricing ($0.20 vs $15.00/M), multimodal support (yes vs no), licensing (OpenMDW License v1.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3.5 Super VL (120B A12B) and o1-preview?

Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA and o1-preview is developed by OpenAI.