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

DeepSeek-V3 0324
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). 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.

DeepSeek-V3 0324
DeepSeek
2025-03-25

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3 0324

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

DeepSeek-V3 0324

Qwen3-235B-A22B-Thinking-2507
Average performance across 2 common benchmarks

DeepSeek-V3 0324

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

DeepSeek-V3 0324

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

DeepSeek-V3 0324
Novita

Qwen3-235B-A22B-Thinking-2507
Novita

DeepSeek-V3 0324

Qwen3-235B-A22B-Thinking-2507