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 VL2

DeepSeek

DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek VL2

DeepSeek

2024-12-13

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

7 months newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4.1

Max Context:-
DeepSeek

DeepSeek VL2

Larger context
Max Context:258.6K
Parameters:27.0B

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

vision
64.8%
general
44.6%
DeepSeek

DeepSeek VL2

vision
+11.9%
76.7%
general
+25.4%
69.9%

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Opus 4.1

0 providers
DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Anthropic

Claude Opus 4.1

Avg Score:0.0%
Providers:0
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1