DeepSeek-V3.2 (Thinking) vs Phi 4 Reasoning
DeepSeek-V3.2 (Thinking) leads the LLM Stats Score 32.6 to 12.0.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek-V3.2 (Thinking) leads the overall LLM Stats Score 32.6 to 12.0, ranking #110 overall.
In the 4 individual benchmarks reported for both models, DeepSeek-V3.2 (Thinking) wins 4; 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-V3.2 (Thinking)
- overall performance matters — it scores 32.6 and ranks #110 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Dec 2025
Choose Phi 4 Reasoning
- 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
14 reported for DeepSeek-V3.2 (Thinking) · 11 for Phi 4 Reasoning
DeepSeek-V3.2 (Thinking) outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro), while Phi 4 Reasoning is better at 0 benchmarks.
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V3.2 (Thinking) has 671.0B more parameters than Phi 4 Reasoning, making it 4792.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 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-V3.2 (Thinking) was released on 2025-12-01, while Phi 4 Reasoning was released on 2025-04-30.
DeepSeek-V3.2 (Thinking) is 7 months newer than Phi 4 Reasoning.
Dec 1, 2025
9 months ago
7mo newerApr 30, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while DeepSeek-V3.2 (Thinking)'s cutoff date is not specified.
We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without DeepSeek-V3.2 (Thinking)'s cutoff date.
—
Mar 2025
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.2 (Thinking) and Phi 4 Reasoning side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2 (Thinking) vs Phi 4 Reasoning.