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

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.1% across 26 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), AIME 2025 (92.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

2 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

$2.62 cheaper
Input:$0.27
Output:$0.41
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

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

Qwen3-235B-A22B-Thinking-2507

Larger context
Max Context:387.1K
Parameters:235.0B

Average performance across 36 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:25.7%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+24.9%
Average Score:50.6%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

factuality
+3.3%
97.1%
math
+10.3%
86.5%
general
62.1%
code
+10.3%
64.3%
agents
44.0%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

factuality
93.8%
math
76.2%
general
+15.3%
77.4%
code
53.9%
agents
+13.9%
57.9%

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

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

DeepSeek

DeepSeek-V3.2-Exp

Avg Score:25.7%
Providers:2
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+24.9%
Avg Score:50.6%
Providers:1