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 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 72B Instruct

Alibaba

2024-07-23

DeepSeek-V3

DeepSeek

2024-12-25

5 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

Qwen2 72B Instruct

Max Context:-

Parameters:72.0B

Average performance across 4 common benchmarks

DeepSeek-V3

+9.3%

Average Score:77.5%

Qwen2 72B Instruct

Average Score:68.2%

Performance comparison across key benchmark categories

DeepSeek-V3

math

+14.8%

90.2%

code

73.2%

general

65.1%

Qwen2 72B Instruct

math

75.4%

code

+9.1%

82.3%

general

+2.8%

67.9%

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 72B Instruct

0 providers

DeepSeek-V3

+9.3%

Avg Score:77.5%

Providers:1

Qwen2 72B Instruct

Avg Score:68.2%

Providers:0