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

Claude Opus 4.1
Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.

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.

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

Claude Opus 4.1
Anthropic
2025-08-05
6 months newer
Performance Metrics
Context window and performance specifications

Claude Opus 4.1

DeepSeek R1 Distill Qwen 32B
Average performance across 1 common benchmarks

Claude Opus 4.1

DeepSeek R1 Distill Qwen 32B
Performance comparison across key benchmark categories

Claude Opus 4.1

DeepSeek R1 Distill Qwen 32B
Provider Availability & Performance
Available providers and their performance metrics

Claude Opus 4.1

DeepSeek R1 Distill Qwen 32B
DeepInfra

Claude Opus 4.1

DeepSeek R1 Distill Qwen 32B