What are the key differences between Phi-4 and DeepSeek-V3?

Compare Phi-4 and DeepSeek-V3 side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Phi-4 and DeepSeek-V3 scored?

Phi-4 has an AI score of 8.3/10 and DeepSeek-V3 has an AI score of 9.0/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Phi-4 vs DeepSeek-V3 2026 - Compared

Phi-4

DeepSeek-V3

WINNER DeepSeek-V3

DeepSeek-V3 edges ahead with a score of 9.0/10 compared to 8.3/10 for Phi-4. While both are highly rated in their respec...

Phi-4

8.28 Great

Model Get Phi-4 open_in_new

emoji_events WINNER

DeepSeek-V3

9.02 Excellent

Model Get DeepSeek-V3 open_in_new

psychology AI Verdict

DeepSeek-V3 edges ahead with a score of 9.0/10 compared to 8.3/10 for Phi-4. While both are highly rated in their respective fields, DeepSeek-V3 demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: DeepSeek-V3

verified Confidence: Low

Ready to decide? Get DeepSeek-V3 arrow_forward

description Overview

Phi-4

Phi-4 is a 14-billion-parameter language model introduced by Microsoft in late 2024 as part of the Phi family of small language models. Its development emphasized carefully selected synthetic and curated training data, with evaluations focused particularly on mathematical reasoning and other tasks requiring structured problem solving. It is intended for research and applications where a comparativ...

DeepSeek-V3

DeepSeek-V3 is a large language model released by the Chinese AI company DeepSeek in late 2024. It is built as a Mixture-of-Experts (MoE) model with a total of 671 billion parameters, of which only 37 billion are activated per token. The model was trained efficiently using a specialized architecture and has demonstrated benchmark performance competitive with other leading closed and open-weight mo...