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-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

3 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

Input:$0.14
Output:$0.28
Microsoft

Phi-3.5-mini-instruct

$0.22 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 5 common benchmarks

DeepSeek

DeepSeek-V2.5

+22.4%
Average Score:83.1%
Microsoft

Phi-3.5-mini-instruct

Average Score:60.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
+24.0%
84.9%
general
+13.0%
68.4%
code
66.1%
Microsoft

Phi-3.5-mini-instruct

math
60.9%
general
55.4%
code
+0.1%
66.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
DeepSeek

DeepSeek-V2.5

+22.4%
Avg Score:83.1%
Providers:3
Microsoft

Phi-3.5-mini-instruct

Avg Score:60.7%
Providers:1