Model Comparison

Nemotron 3 Nano (30B A3B) vs Phi 4 Reasoning

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Nemotron 3 Nano (30B A3B) outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Phi 4 Reasoning is better at 0 benchmarks.

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

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

18.0B diff

Nemotron 3 Nano (30B A3B) has 18.0B more parameters than Phi 4 Reasoning, making it 128.6% larger.

NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
32.0B
Nemotron 3 Nano (30B A3B)
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only Nemotron 3 Nano (30B A3B) specifies input context (262,144 tokens). Only Nemotron 3 Nano (30B A3B) specifies output context (262,144 tokens).

NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Mon Jun 01 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while Phi 4 Reasoning uses MIT.

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

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while Phi 4 Reasoning was released on 2025-04-30.

Nemotron 3 Nano (30B A3B) is 8 months newer than Phi 4 Reasoning.

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

5 months ago

7mo newer
Phi 4 Reasoning

Apr 30, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a knowledge cutoff of 2025-11-28, while Phi 4 Reasoning has a cutoff of 2025-03-01.

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 Phi 4 Reasoning (2025-03-01).

Nemotron 3 Nano (30B A3B)

Nov 2025

8 mo newer
Phi 4 Reasoning

Mar 2025

Outputs Comparison

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Key Takeaways

NVIDIA
Larger context window (262,144 tokens)
Higher AIME 2025 score (99.2% vs 62.9%)
Higher GPQA score (75.0% vs 65.8%)
Higher MMLU-Pro score (78.3% vs 74.3%)
Microsoft

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Nemotron 3 Nano (30B A3B)
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Nemotron 3 Nano (30B A3B) vs Phi 4 Reasoning.

Which is better, Nemotron 3 Nano (30B A3B) or Phi 4 Reasoning?

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

How does Nemotron 3 Nano (30B A3B) compare to Phi 4 Reasoning in benchmarks?

Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for Nemotron 3 Nano (30B A3B) and Phi 4 Reasoning?

Nemotron 3 Nano (30B A3B) supports 262K tokens and Phi 4 Reasoning supports an unknown number of 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 Nano (30B A3B) and Phi 4 Reasoning?

Key differences include licensing (NVIDIA Open Model License Agreement vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3 Nano (30B A3B) and Phi 4 Reasoning?

Nemotron 3 Nano (30B A3B) is developed by NVIDIA and Phi 4 Reasoning is developed by Microsoft.