The AI arena is free today

Open Superagent

GPT-5.2 vs Nemotron 3.5 Super VL (120B A12B)

GPT-5.2 leads the LLM Stats Score 41.1 to 35.0. Nemotron 3.5 Super VL (120B A12B) is 12.0x cheaper per token.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5.2 leads the overall LLM Stats Score 41.1 to 35.0, ranking #69 overall.

In the 5 individual benchmarks reported for both models, GPT-5.2 wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 12.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.2 also accepts a larger context window (400,000 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 GPT-5.2

  • overall performance matters — it scores 41.1 and ranks #69 on LLM Stats
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • you process long inputs — it offers a 400,000 token context window

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 12.0x cheaper per token
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-5.2
OpenAI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
41.1
#69
35.0
#108
Reasoning
40.5
#65
36.2
#94
Coding
23.5
#92
21.0
#108
Agents
14.6
#111
16.5
#99
Cost, coverage & limits
Benchmark wins
4 of 5
1 of 5
Input price
$1.75 / M
$0.20 / M
Output price
$14.00 / M
$1.00 / M
Context window
400,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-5.2
Nemotron 3.5 Super VL (120B A12B)
Math
37.9#29
28.1#101
Vision
27.9#45
20.3#86
Tool use
18.1#83
11.0#133
Multimodal
31.0#35
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-5.2 · 19 for Nemotron 3.5 Super VL (120B A12B)

5 shared

GPT-5.2 outperforms in 4 benchmarks (CharXiv-R, GPQA, Humanity's Last Exam, SWE-Bench Verified), while Nemotron 3.5 Super VL (120B A12B) is better at 1 benchmark (BrowseComp).

GPT-5.2 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, GPT-5.2 ($1.75/1M tokens) is 8.8x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 14.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, GPT-5.2 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
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while GPT-5.2 is limited to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 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

Both GPT-5.2 and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.2

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, 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.

GPT-5.2

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 10 months newer than GPT-5.2.

GPT-5.2

Dec 11, 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

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

GPT-5.2

Aug 2025

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

GPT-5.2 is available from OpenAI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

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 GPT-5.2 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

GPT-5.2
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about GPT-5.2 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, GPT-5.2 or Nemotron 3.5 Super VL (120B A12B)?

GPT-5.2 leads the LLM Stats Score 41.1 to 35.0. GPT-5.2 is made by OpenAI 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 GPT-5.2 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. 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 GPT-5.2 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 8.8x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. 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 GPT-5.2 and Nemotron 3.5 Super VL (120B A12B)?

GPT-5.2 supports 400K 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 GPT-5.2 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (41.1 vs 35.0), context window (400K vs 262K), input pricing ($1.75 vs $0.20/M), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 and Nemotron 3.5 Super VL (120B A12B)?

GPT-5.2 is developed by OpenAI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

Related comparisons