Model Comparison

DeepSeek-V2.5 vs Phi 4

Both models are evenly matched across the benchmarks. Phi 4 is 2.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V2.5 outperforms in 2 benchmarks (Arena Hard, HumanEval), while Phi 4 is better at 2 benchmarks (MATH, MMLU).

Both models are evenly matched across the benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 2.0x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 2.0x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, DeepSeek-V2.5 is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed May 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
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Model Size

Parameter count comparison

221.3B diff

DeepSeek-V2.5 has 221.3B more parameters than Phi 4, making it 1505.4% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Microsoft
Phi 4
14.7Bparameters
236.0B
DeepSeek-V2.5
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Phi 4 accepts 16,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Phi 4 was released on 2024-12-12.

Phi 4 is 7 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Phi 4

Dec 12, 2024

1.4 years ago

7mo newer

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Phi 4'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

Jun 2024

Provider Availability

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Phi 4 is available from DeepInfra.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher Arena Hard score (76.2% vs 75.4%)
Higher HumanEval score (89.0% vs 82.6%)
Larger context window (16,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MATH score (80.4% vs 74.7%)
Higher MMLU score (84.8% vs 80.4%)

Detailed Comparison

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

FAQ

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

Which is better, DeepSeek-V2.5 or Phi 4?

Both models are evenly matched across the benchmarks. DeepSeek-V2.5 is made by DeepSeek and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V2.5 compare to Phi 4 in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is DeepSeek-V2.5 cheaper than Phi 4?

Phi 4 is 2.0x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for DeepSeek-V2.5 and Phi 4?

DeepSeek-V2.5 supports 8K tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V2.5 and Phi 4?

Key differences include context window (8K vs 16K), input pricing ($0.14 vs $0.07/M), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Phi 4?

DeepSeek-V2.5 is developed by DeepSeek and Phi 4 is developed by Microsoft.