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GPT-4o mini vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 3.3. GPT-4o mini is 1.5x cheaper per token.

OpenAI · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 3.3, 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, GPT-4o mini is roughly 1.5x 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 GPT-4o mini

  • cost matters — it's about 1.5x cheaper per token

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
  • 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

At a glance

The differences that matter most.

GPT-4o mini
OpenAI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
3.3
#332
35.0
#108
Reasoning
3.7
#321
36.2
#94
Coding
-0.8
#267
21.0
#108
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.15 / M
$0.20 / M
Output price
$0.60 / M
$1.00 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o mini
Nemotron 3.5 Super VL (120B A12B)
Math
11.4#253
28.1#101
Vision
-0.4#204
20.3#86
Multimodal
2.4#164
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-4o mini · 19 for Nemotron 3.5 Super VL (120B A12B)

2 shared

GPT-4o mini outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 2 benchmarks (GPQA, SWE-Bench Verified).

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

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 1.3x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 1.7x 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 GPT-4o mini.*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
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

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to GPT-4o mini's 128,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o mini 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-4o mini

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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-4o mini

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 27 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.2 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

2.2yr newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

GPT-4o mini

Oct 2023

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

GPT-4o mini is available from Azure. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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-4o mini and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about GPT-4o mini vs Nemotron 3.5 Super VL (120B A12B).

Which is better, GPT-4o mini or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 3.3. GPT-4o mini 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-4o mini compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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-4o mini cheaper than Nemotron 3.5 Super VL (120B A12B)?

GPT-4o mini is 1.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. 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-4o mini and Nemotron 3.5 Super VL (120B A12B)?

GPT-4o mini supports 128K 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-4o mini and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (3.3 vs 35.0), context window (128K vs 262K), input pricing ($0.15 vs $0.20/M), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Nemotron 3.5 Super VL (120B A12B)?

GPT-4o mini is developed by OpenAI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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