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 Base
Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). The model shows particular specialization in math tasks with an average performance of 81.2%. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi K2 Base
Moonshot AI
2025-01-01

DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
19 days newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

Kimi K2 Base
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 32B

Kimi K2 Base
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 32B

Kimi K2 Base
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

Kimi K2 Base

DeepSeek R1 Distill Qwen 32B

Kimi K2 Base