Model Comparison

DeepSeek-V2.5 vs Phi 4 Mini

DeepSeek-V2.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V2.5 outperforms in 4 benchmarks (Arena Hard, GSM8k, MATH, MMLU), while Phi 4 Mini is better at 0 benchmarks.

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Fri Apr 10 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
Fri Apr 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Microsoft
Phi 4 Mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

232.2B diff

DeepSeek-V2.5 has 232.2B more parameters than Phi 4 Mini, making it 6045.8% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
236.0B
DeepSeek-V2.5
3.8B
Phi 4 Mini

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Fri Apr 10 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Phi 4 Mini uses MIT.

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

DeepSeek-V2.5

deepseek

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Phi 4 Mini was released on 2025-02-01.

Phi 4 Mini is 9 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

Phi 4 Mini

Feb 1, 2025

1.2 years ago

8mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V2.5'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-V2.5's cutoff date.

DeepSeek-V2.5

—

Phi 4 Mini

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (8,192 tokens)
Higher Arena Hard score (76.2% vs 32.8%)
Higher GSM8k score (95.1% vs 88.6%)
Higher MATH score (74.7% vs 64.0%)
Higher MMLU score (80.4% vs 67.3%)
Microsoft

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Microsoft
Phi 4 Mini

FAQ

Common questions about DeepSeek-V2.5 vs Phi 4 Mini

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek and Phi 4 Mini is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.
DeepSeek-V2.5 supports 8K tokens and Phi 4 Mini 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 (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Phi 4 Mini is developed by Microsoft.