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 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Alibaba

Qwen2.5 7B Instruct

Alibaba

2024-09-19

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

$0.18 cheaper
Input:$0.14
Output:$0.28
Alibaba

Qwen2.5 7B Instruct

Input:$0.30
Output:$0.30

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
Alibaba

Qwen2.5 7B Instruct

Larger context
Max Context:139.3K
Parameters:7.6B

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-V2.5

+6.8%
Average Score:84.3%
Alibaba

Qwen2.5 7B Instruct

Average Score:77.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

roleplay
+28.5%
90.2%
math
+1.3%
84.9%
general
+7.8%
68.4%
code
+0.1%
66.1%
Alibaba

Qwen2.5 7B Instruct

roleplay
61.7%
math
83.5%
general
60.6%
code
66.0%
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 7B Instruct

1 providers

Together

Throughput: 138 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-V2.5

+6.8%
Avg Score:84.3%
Providers:3
Alibaba

Qwen2.5 7B Instruct

Avg Score:77.5%
Providers:1