+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Claude Opus 4.1 vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
Claude Opus 4.1 leads with 25.1% higher average benchmark score. Claude Opus 4.1 supports multimodal inputs. Claude Opus 4.1 is available on 4 providers. Overall, Claude Opus 4.1 is the stronger choice for coding tasks.
+
+
+
+
Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). It supports a 232K token context window for handling large documents. The model is available through 4 API providers. 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 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
6 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Claude Opus 4.1
Anthropic
2025-08-05
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
+
+
+
+
Claude Opus 4.1
Average Score:52.9%(+25.1%)
+
+
+
+
DeepSeek R1 Zero
Average Score:27.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Claude Opus 4.1
4 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 120 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
+
+
+
+
Claude Opus 4.1
Avg Score:52.9%(+25.1%)
Providers:4
+
+
+
+
DeepSeek R1 Zero
Avg Score:27.8%
Providers:0