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.

Kimi K2-Instruct-0905
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20

Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
7 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

Kimi K2-Instruct-0905
Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 32B

Kimi K2-Instruct-0905
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 32B

Kimi K2-Instruct-0905
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

Kimi K2-Instruct-0905

DeepSeek R1 Distill Qwen 32B

Kimi K2-Instruct-0905