Model Comparison

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

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.

Qwen2 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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-V2.5

DeepSeek

2024-05-08

Qwen2 7B Instruct

Alibaba

2024-07-23

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V2.5

Larger context

Max Context:16.4K

Parameters:236.0B

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 6 common benchmarks

DeepSeek-V2.5

+11.9%

Average Score:85.0%

Qwen2 7B Instruct

Average Score:73.1%

Performance comparison across key benchmark categories

DeepSeek-V2.5

roleplay

+6.1%

90.2%

math

+18.9%

84.9%

general

+19.0%

68.4%

code

+1.8%

66.1%

Qwen2 7B Instruct

roleplay

84.1%

math

66.0%

general

49.4%

code

64.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

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

Qwen2 7B Instruct

0 providers

DeepSeek-V2.5

+11.9%

Avg Score:85.0%

Providers:3

Qwen2 7B Instruct

Avg Score:73.1%

Providers:0