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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 262K 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 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-R1
DeepSeek
2025-01-20

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

DeepSeek-R1

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

DeepSeek-R1

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

DeepSeek-R1

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

DeepSeek-R1

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

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Qwen3-235B-A22B-Thinking-2507
Novita

DeepSeek-R1

Qwen3-235B-A22B-Thinking-2507