Model Comparison
Nemotron 3 Nano (30B A3B) vs Phi-4-multimodal-instructWhich is better in 2026?
Comparing Nemotron 3 Nano (30B A3B) and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.
Verdict: Nemotron 3 Nano (30B A3B) vs Phi-4-multimodal-instruct — which is better?
Nemotron 3 Nano (30B A3B) (by NVIDIA) and Phi-4-multimodal-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Phi-4-multimodal-instruct is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3 Nano (30B A3B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Nemotron 3 Nano (30B A3B) if…
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Phi-4-multimodal-instruct if…
- cost matters — it's about 1.7x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Nemotron 3 Nano (30B A3B) and Phi-4-multimodal-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Nemotron 3 Nano (30B A3B) ($0.06/1M tokens) is 1.2x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, Nemotron 3 Nano (30B A3B) ($0.24/1M tokens) is 2.4x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, Nemotron 3 Nano (30B A3B) is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Nemotron 3 Nano (30B A3B) has 26.4B more parameters than Phi-4-multimodal-instruct, making it 471.4% larger.
Context Window
Maximum input and output token capacity
Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Phi-4-multimodal-instruct supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.
Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron 3 Nano (30B A3B)
Phi-4-multimodal-instruct
License
Usage and distribution terms
Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while Phi-4-multimodal-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
NVIDIA Open Model License Agreement
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while Phi-4-multimodal-instruct was released on 2025-02-01.
Nemotron 3 Nano (30B A3B) is 11 months newer than Phi-4-multimodal-instruct.
Dec 15, 2025
5 months ago
10mo newerFeb 1, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a knowledge cutoff of 2025-11-28, while Phi-4-multimodal-instruct has a cutoff of 2024-06-01.
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-multimodal-instruct (2024-06-01).
Nov 2025
1.4 yr newerJun 2024
Provider Availability
Nemotron 3 Nano (30B A3B) is available from DeepInfra. Phi-4-multimodal-instruct is available from DeepInfra.
Nemotron 3 Nano (30B A3B)
Phi-4-multimodal-instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Nemotron 3 Nano (30B A3B) vs Phi-4-multimodal-instruct.