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

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 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 Distill Qwen 32B
DeepSeek
2025-01-20

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
6 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

Qwen3-235B-A22B-Instruct-2507
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 32B

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

DeepSeek R1 Distill Qwen 32B

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

DeepSeek R1 Distill Qwen 32B
DeepInfra

Qwen3-235B-A22B-Instruct-2507

DeepSeek R1 Distill Qwen 32B

Qwen3-235B-A22B-Instruct-2507