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.

Qwen2.5 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-V2.5
DeepSeek
2024-05-08

Qwen2.5 72B Instruct
Alibaba
2024-09-19
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V2.5

Qwen2.5 72B Instruct
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Qwen2.5 72B Instruct
Average performance across 6 common benchmarks

DeepSeek-V2.5

Qwen2.5 72B Instruct
Performance comparison across key benchmark categories

DeepSeek-V2.5

Qwen2.5 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

DeepSeek-V2.5

Qwen2.5 72B Instruct