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.

Alibaba

Qwen2.5 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Alibaba

Qwen2.5 72B Instruct

Alibaba

2024-09-19

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

$0.33 cheaper
Input:$0.14
Output:$0.28
Alibaba

Qwen2.5 72B Instruct

Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
Alibaba

Qwen2.5 72B Instruct

Larger context
Max Context:139.3K
Parameters:72.7B

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-V2.5

Average Score:84.3%
Alibaba

Qwen2.5 72B Instruct

+2.7%
Average Score:87.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

roleplay
+17.3%
90.2%
math
84.9%
code
66.1%
general
68.4%
Alibaba

Qwen2.5 72B Instruct

roleplay
72.9%
math
+4.6%
89.5%
code
+12.5%
78.6%
general
+5.8%
74.1%
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
Alibaba

Qwen2.5 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
DeepSeek

DeepSeek-V2.5

Avg Score:84.3%
Providers:3
Alibaba

Qwen2.5 72B Instruct

+2.7%
Avg Score:87.0%
Providers:4