Model Comparison

DeepSeek-V3 vs Phi 4 Reasoning

Phi 4 Reasoning has a slight edge in benchmark performance.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 2 benchmarks (IFEval, MMLU-Pro), while Phi 4 Reasoning is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).

Phi 4 Reasoning has a slight edge in benchmark performance.

Wed Apr 29 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
Wed Apr 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
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-V3 has 657.0B more parameters than Phi 4 Reasoning, making it 4692.9% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
671.0B
DeepSeek-V3
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Wed Apr 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Phi 4 Reasoning uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Phi 4 Reasoning was released on 2025-04-30.

Phi 4 Reasoning is 4 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

Phi 4 Reasoning

Apr 30, 2025

12 months ago

4mo newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while DeepSeek-V3'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's cutoff date.

DeepSeek-V3

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Higher IFEval score (86.1% vs 83.4%)
Higher MMLU-Pro score (75.9% vs 74.3%)
Microsoft
Higher AIME 2024 score (75.3% vs 39.2%)
Higher GPQA score (65.8% vs 59.1%)
Higher LiveCodeBench score (53.8% vs 37.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Microsoft
Phi 4 Reasoning

FAQ

Common questions about DeepSeek-V3 vs Phi 4 Reasoning

Phi 4 Reasoning has a slight edge in benchmark performance. DeepSeek-V3 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-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.
DeepSeek-V3 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.
Key differences include licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and Phi 4 Reasoning is developed by Microsoft.