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.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 26 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). The model shows particular specialization in general tasks with an average performance of 77.5%. It supports a 147K 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.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
2 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.2-Exp

Qwen3-235B-A22B-Instruct-2507
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Qwen3-235B-A22B-Instruct-2507
Average performance across 35 common benchmarks

DeepSeek-V3.2-Exp

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Qwen3-235B-A22B-Instruct-2507
Novita

DeepSeek-V3.2-Exp

Qwen3-235B-A22B-Instruct-2507