Model Comparison

GPT-4o vs Nemotron 3 Nano (30B A3B)

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 41.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 2 benchmarks (GPQA, MMLU-Pro).

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Sat May 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, GPT-4o ($2.50/1M tokens) is 41.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 41.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, GPT-4o is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Sat May 16 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to GPT-4o's 128,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while GPT-4o is limited to 4,096 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sat May 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text
Images
Audio
Video

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

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

GPT-4o

Proprietary

Closed source

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 19 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.0 years ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

5 months ago

1.6yr newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while GPT-4o's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

GPT-4o is available from Azure, OpenAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (75.0% vs 53.6%)
Higher MMLU-Pro score (78.3% vs 72.6%)
OpenAIGPT-4o
NVIDIANemotron 3 Nano (30B A3B)
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Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about GPT-4o vs Nemotron 3 Nano (30B A3B).

Which is better, GPT-4o or Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to Nemotron 3 Nano (30B A3B) in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is GPT-4o cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 41.7x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.

What are the context window sizes for GPT-4o and Nemotron 3 Nano (30B A3B)?

GPT-4o supports 128K tokens and Nemotron 3 Nano (30B A3B) 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 and Nemotron 3 Nano (30B A3B)?

Key differences include context window (128K vs 262K), input pricing ($2.50 vs $0.06/M), multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Nemotron 3 Nano (30B A3B)?

GPT-4o is developed by OpenAI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.