Model Comparison

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

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba Cloud / Qwen Team

Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba Cloud / Qwen Team

2024-07-23

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 25 common benchmarks

DeepSeek-V3.2-Exp

+3.7%

Average Score:37.0%

Qwen2 7B Instruct

Average Score:33.3%

Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

math

+20.5%

86.5%

code

+0.9%

64.3%

general

+14.6%

62.1%

Qwen2 7B Instruct

math

66.0%

code

63.4%

general

47.5%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

Qwen2 7B Instruct

0 providers

DeepSeek-V3.2-Exp

+3.7%

Avg Score:37.0%

Providers:2

Qwen2 7B Instruct

Avg Score:33.3%

Providers:0