Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Microsoft

Phi 4 Mini Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

11 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
Microsoft

Phi 4 Mini Reasoning

Max Context:-
Parameters:3.8B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
84.9%
general
+13.6%
68.4%
Microsoft

Phi 4 Mini Reasoning

math
+9.7%
94.6%
general
54.8%
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini Reasoning

2025-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Microsoft

Phi 4 Mini Reasoning

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
Microsoft

Phi 4 Mini Reasoning

Avg Score:0.0%
Providers:0