Model Comparison

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

DeepSeek

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.

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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 Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Alibaba Cloud / Qwen Team

2024-09-19

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

1 year newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

Input:$0.27
Output:$0.41
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

$0.50 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 27 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:34.3%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

+1.8%
Average Score:36.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

factuality
+31.2%
97.1%
math
+12.3%
86.5%
code
+6.1%
64.3%
general
+5.9%
62.1%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

factuality
65.9%
math
74.2%
code
58.2%
general
56.2%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:34.3%
Providers:2
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

+1.8%
Avg Score:36.1%
Providers:4