Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

2024-09-19

DeepSeek-V3

DeepSeek

2024-12-25

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

Qwen2.5 14B Instruct

Max Context:-

Parameters:14.7B

Average performance across 4 common benchmarks

DeepSeek-V3

+10.9%

Average Score:78.1%

Qwen2.5 14B Instruct

Average Score:67.2%

Performance comparison across key benchmark categories

DeepSeek-V3

math

+2.8%

90.2%

code

+3.2%

73.2%

general

65.1%

Qwen2.5 14B Instruct

math

87.4%

code

70.0%

general

+2.3%

67.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

Qwen2.5 14B Instruct

0 providers

DeepSeek-V3

+10.9%

Avg Score:78.1%

Providers:1

Qwen2.5 14B Instruct

Avg Score:67.2%

Providers:0