Model Comparison

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

Anthropic

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

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

6 months newer

Average performance across 1 common benchmarks

Anthropic

Claude Opus 4.1

Average Score:5.3%
DeepSeek

DeepSeek R1 Distill Qwen 7B

+43.8%
Average Score:49.1%

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

general
44.6%
DeepSeek

DeepSeek R1 Distill Qwen 7B

general
+21.6%
66.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Opus 4.1

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 7B

0 providers
Anthropic

Claude Opus 4.1

Avg Score:5.3%
Providers:0
DeepSeek

DeepSeek R1 Distill Qwen 7B

+43.8%
Avg Score:49.1%
Providers:0