+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Claude Opus 4.5 vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
Claude Opus 4.5 leads with 66.5% higher average benchmark score. Claude Opus 4.5 offers 128.0K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $28.63 cheaper per million tokens. Claude Opus 4.5 supports multimodal inputs. Claude Opus 4.5 is available on 3 providers. Overall, Claude Opus 4.5 is the stronger choice for coding tasks.
+
+
+
+
Anthropic
Claude Opus 4.5, released by Anthropic in November 2025, is a large language model from the Claude 4.5 family built for demanding reasoning tasks, advanced code generation, and complex agentic workflows. It features a 200K token context window, 64K maximum output tokens, native image understanding, and extended thinking with configurable effort levels. Opus 4.5 targets deep analytical work, multi-step tool orchestration, and applications requiring sustained reasoning across long, complex tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
2 months newer
DeepSeek-V3.1
DeepSeek
2025-08-21
Claude Opus 4.5
Anthropic
2025-11-01
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Claude Opus 4.5
Input:$5.00
Output:$25.00
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.10($28.63 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
Claude Opus 4.5
Average Score:67.8%(+66.5%)
+
+
+
+
DeepSeek-V3.1
Average Score:1.3%
Performance comparison across key benchmark categories
+
+
+
+
Claude Opus 4.5
Agents67.8%(+66.5%)
+
+
+
+
DeepSeek-V3.1
Agents1.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Claude Opus 4.5
2025-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Claude Opus 4.5
3 providers
Anthropic
AWS Bedrock
Google Cloud Vertex AI
+
+
+
+
DeepSeek-V3.1
+
+
+
+
Claude Opus 4.5
Avg Score:67.8%(+66.5%)
Providers:3
+
+
+
+
DeepSeek-V3.1
Avg Score:1.3%
Providers:1