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

DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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
DeepSeek
2024-12-25

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

DeepSeek-V3

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

DeepSeek-V3

Qwen3-235B-A22B-Thinking-2507
Average performance across 4 common benchmarks

DeepSeek-V3

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

DeepSeek-V3

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

DeepSeek-V3
DeepSeek

Qwen3-235B-A22B-Thinking-2507
Novita

DeepSeek-V3

Qwen3-235B-A22B-Thinking-2507