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-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-R1-0528

DeepSeek

2025-05-28

Claude Opus 4.1

Anthropic

2025-08-05

2 months newer

Performance Metrics

Context window and performance specifications

Claude Opus 4.1

Max Context:-

DeepSeek-R1-0528

Larger context

Max Context:262.1K

Parameters:671.0B

Average performance across 5 common benchmarks

Claude Opus 4.1

Average Score:42.1%

DeepSeek-R1-0528

+26.6%

Average Score:68.7%

Performance comparison across key benchmark categories

Claude Opus 4.1

general

44.6%

agents

50.4%

DeepSeek-R1-0528

general

+24.6%

69.2%

agents

+8.3%

58.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Claude Opus 4.1

0 providers

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s

Latency: 0.61ms

Novita

Throughput: 37.96 tok/s

Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

Claude Opus 4.1

Avg Score:42.1%

Providers:0

DeepSeek-R1-0528

+26.6%

Avg Score:68.7%

Providers:3