Model Comparison

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

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek R1 Zero

DeepSeek

2025-01-20

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

6 months newer

Average performance across 1 common benchmarks

DeepSeek R1 Zero

Average Score:73.3%

Qwen3-235B-A22B-Instruct-2507

+4.2%

Average Score:77.5%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+45.7%

95.9%

general

+6.3%

80.0%

code

50.0%

Qwen3-235B-A22B-Instruct-2507

math

50.2%

general

73.7%

code

+20.3%

70.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Zero

0 providers

Qwen3-235B-A22B-Instruct-2507

0 providers

DeepSeek R1 Zero

Avg Score:73.3%

Providers:0

Qwen3-235B-A22B-Instruct-2507

+4.2%

Avg Score:77.5%

Providers:0