DeepSeek-R1-0528 vs Phi 4 Mini
DeepSeek-R1-0528 leads the LLM Stats Score 24.1 to -4.1.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek-R1-0528 leads the overall LLM Stats Score 24.1 to -4.1, ranking #167 overall.
In the 2 individual benchmarks reported for both models, DeepSeek-R1-0528 wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1-0528
- overall performance matters — it scores 24.1 and ranks #167 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped May 2025
Choose Phi 4 Mini
- you are already invested in the Microsoft ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for DeepSeek-R1-0528 · 17 for Phi 4 Mini
DeepSeek-R1-0528 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi 4 Mini is better at 0 benchmarks.
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-R1-0528 has 667.2B more parameters than Phi 4 Mini, making it 17374.0% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1-0528 specifies input context (163,840 tokens). Only DeepSeek-R1-0528 specifies output context (163,840 tokens).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while Phi 4 Mini was released on 2025-02-01.
DeepSeek-R1-0528 is 4 months newer than Phi 4 Mini.
May 28, 2025
1.3 years ago
3mo newerFeb 1, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while DeepSeek-R1-0528's cutoff date is not specified.
We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.
—
Jun 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1-0528 and Phi 4 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs Phi 4 Mini.