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 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 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 Reasoning

Max Context:-
Parameters:14.0B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek-V2.5

+2.9%
Average Score:76.2%
Microsoft

Phi 4 Reasoning

Average Score:73.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
+8.3%
84.9%
code
66.1%
general
68.4%
Microsoft

Phi 4 Reasoning

math
76.6%
code
+10.6%
76.7%
general
+5.9%
74.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

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 Reasoning

0 providers
DeepSeek

DeepSeek-V2.5

+2.9%
Avg Score:76.2%
Providers:3
Microsoft

Phi 4 Reasoning

Avg Score:73.3%
Providers:0