Model Comparison

DeepSeek-R1-0528 vs Phi 4 Reasoning

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-R1-0528 outperforms in 5 benchmarks (AIME 2024, AIME 2025, GPQA, LiveCodeBench, MMLU-Pro), while Phi 4 Reasoning is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Microsoft
Phi 4 Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

657.0B diff

DeepSeek-R1-0528 has 657.0B more parameters than Phi 4 Reasoning, making it 4692.9% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
671.0B
DeepSeek-R1-0528
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-R1-0528

MIT

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Phi 4 Reasoning was released on 2025-04-30.

DeepSeek-R1-0528 is 1 month newer than Phi 4 Reasoning.

DeepSeek-R1-0528

May 28, 2025

11 months ago

4w newer
Phi 4 Reasoning

Apr 30, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while DeepSeek-R1-0528'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-R1-0528's cutoff date.

DeepSeek-R1-0528

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Higher AIME 2024 score (91.4% vs 75.3%)
Higher AIME 2025 score (87.5% vs 62.9%)
Higher GPQA score (81.0% vs 65.8%)
Higher LiveCodeBench score (73.3% vs 53.8%)
Higher MMLU-Pro score (85.0% vs 74.3%)
Microsoft

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Microsoft
Phi 4 Reasoning

FAQ

Common questions about DeepSeek-R1-0528 vs Phi 4 Reasoning

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.
DeepSeek-R1-0528 supports 131K 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.
DeepSeek-R1-0528 is developed by DeepSeek and Phi 4 Reasoning is developed by Microsoft.