Model Comparison

GPT-5.2 vs Nemotron 3 Nano (30B A3B)

GPT-5.2 significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 45.8x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-5.2 outperforms in 6 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, Tau2 Retail, Tau2 Telecom), while Nemotron 3 Nano (30B A3B) is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Tue Apr 07 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-5.2 ($1.75/1M tokens) is 29.2x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 58.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, GPT-5.2 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
Tue Apr 07 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to Nemotron 3 Nano (30B A3B)'s 262,144 tokens. Nemotron 3 Nano (30B A3B) 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 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

Text
Images
Audio
Video

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 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-5.2

Proprietary

Closed source

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 0 month newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

3 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

3 months ago

4d newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a knowledge cutoff of 2025-08-25, while Nemotron 3 Nano (30B A3B) has a cutoff of 2025-11-28.

Nemotron 3 Nano (30B A3B) has more recent training data (up to 2025-11-28), making it potentially better informed about events through that date compared to GPT-5.2 (2025-08-25).

GPT-5.2

Aug 2025

Nemotron 3 Nano (30B A3B)

Nov 2025

3 mo newer

Provider Availability

GPT-5.2 is available from OpenAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

GPT-5.2

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

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

Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 99.2%)
Higher GPQA score (92.4% vs 75.0%)
Higher Humanity's Last Exam score (34.5% vs 15.5%)
Higher SWE-Bench Verified score (80.0% vs 38.8%)
Higher Tau2 Retail score (82.0% vs 56.9%)
Higher Tau2 Telecom score (98.7% vs 42.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about GPT-5.2 vs Nemotron 3 Nano (30B A3B)

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 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.
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 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Nemotron 3 Nano (30B A3B) is 29.2x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.
GPT-5.2 supports 400K 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.
Key differences include context window (400K vs 262K), input pricing ($1.75 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.
GPT-5.2 is developed by OpenAI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.