Transforming AI Workflows with DeepSeek V31 on Amazon Bedrock for Code and Data Intelligence

Overview

Amazon Bedrock launched DeepSeek-V3.1 on September 18, 2025, introducing a hybrid open-weight model that seamlessly switches between thinking mode (chain-of-thought reasoning) and non-thinking mode (direct responses). Built on 685 billion parameters, with 37 billion active parameters per token through a Mixture-of-Experts (MoE) architecture, the model delivers powerful performance while maintaining cost efficiency. DeepSeek-V3.1 achieves 66.0% on SWE-Bench Verified (versus 44.6% for R1-0528), 30.0% on Browsecomp (versus 8.9%), and 31.3% on Terminal-Bench (versus 5.7%). The model excels in software development, mathematical reasoning, data analysis, and agile workflows, with enhanced tool-calling and transparent reasoning.​

Introduction

AWS became the first cloud provider delivering DeepSeek models serverless through Amazon Bedrock, and V3.1 reinforces this leadership. The hybrid architecture integrates two reasoning approaches, a thinking mode for step-by-step analysis and a non-thinking mode for immediate answers. Enterprise-grade security includes data encryption, strict access controls, and comprehensive compliance. AWS does not share customer model data with providers and does not use it for model training. Available in US West (Oregon), Asia Pacific (Tokyo, Mumbai), Europe (London, Stockholm), V3.1 enables sophisticated AI agents with transparent reasoning.​

Hybrid Architecture

Dual-Mode Functionality

DeepSeek-V3.1 switches between operational modes matching task complexity. Thinking mode employs a chain-of-thought reasoning approach with step-by-step analysis, excelling in multi-step reasoning, technical architecture decisions, mathematical proofs, and complex debugging. Non-thinking mode delivers direct answers, optimizing latency for routine tasks. The model achieves quality comparable to R1-0528 while demonstrating stronger multi-step reasoning and significant gains in thinking efficiency.​

MoE Architecture

V3.1 leverages 685 billion total parameters, activating only 37 billion per token. This design maintains cost efficiency by utilizing only the relevant knowledge portions for each task. Different expert modules specialize in coding, mathematics, multilingual processing, and reasoning. Released as open-weight, it provides transparency and customization opportunities.​

Performance Benchmarks

Source: https://api-docs.deepseek.com/news/news250821

Key Capabilities

Software Development

V3.1 excels across the software development lifecycle. Strong SWE-Bench performance demonstrates the reliable resolution of GitHub issues, implementation of features, and bug fixing across diverse codebases. It involves technical architecture with sophisticated reasoning, including API design, database choice, and service optimization. Improved tool-calling allows agents of code to coordinate development tools, version control, and CI/CD pipelines. Extended context now supports up to 1 million tokens on entire codebases and comprehensive documentation.

Mathematical Reasoning

Exceptional capabilities in mathematics, strong performance in technical challenges. Thinking mode exposes the chain of reasoning to verify proofs, understand derivations, and track down errors. Applications include financial modelling, scientific computing, statistical analysis, and optimization. The new multi-step reasoning improves complex analytical workflows by 43%.

Agentic Workflows

Post-training optimization strengthened tool usage and agentic capabilities. The model coordinates multiple tools/APIs, executes multi-step workflows, and adapts strategies based on intermediate results. Enhanced Browsecomp and Terminal-Bench performance demonstrates reliable browser automation and command-line operations. Use cases for these include process automation, intelligent routing, data pipelines, and customer service orchestration.

Multilingual Support

Rich multilingual capability, 38% hallucination reduction. Strong SWE-Bench Multilingual performance of 54.5% and Browsecomp_zh with 49.2% are indicative of very strong readiness for global deployment. Supports more than 100 languages; optimized specifically for Asian languages.

Enterprise Integration

Amazon Bedrock Platform

Seamless integration with Amazon Bedrock’s comprehensive tooling. Amazon Bedrock Guardrails detect hallucinations, implement content filters, and enforce responsible AI policies. Model evaluation tools enable comparison with other foundation models. A fully managed service eliminates infrastructure management, offering automatic scaling and enterprise-level reliability.​

Security and Compliance

Enterprise-grade security ensures data protection and ensures compliance with relevant regulations. Data encryption protects information in transit and at rest. AWS does not share customer data with model providers or use it for training. Full control with audit trails and governance capabilities.​

Regional Availability

Available in: US West (Oregon), Asia Pacific (Tokyo, Mumbai), Europe (London, Stockholm). Global deployment enables low-latency access and supports data residency requirements.​

Use Cases

Technical Architecture

Organizations use V3.1 to design scalable systems, assess architectural trade-offs, and produce technical specifications. Thinking mode provides comprehensive reasoning for infrastructure decisions. Applications: microservices design, database optimization, API patterns, cloud infrastructure planning.

Data Analysis

Transforms data into actionable insights through sophisticated analysis. CoinMarketCap utilizes DeepSeek in Amazon Bedrock for transforming crypto data into user insights. Applications: financial analysis, identification of trends, risk assessment, and predictive analytics.

Business Automation

Intelligent automation of sophisticated workflows that involve adaptive decision-making. Enhanced tool-calling enables agents to coordinate multiple systems, execute conditional logic, and maintain context. Applications include customer service, supply chain optimization, document processing, and compliance monitoring.

Getting Started

Amazon Bedrock console access: Under Playgrounds -> Choose Chat/Text -> DeepSeek category, choose DeepSeek-V3.1. If you need programmatic access, it is also available via the Amazon Bedrock API. It supports prompt engineering, context management, and streaming responses. For additional information, visit the AWS documentation, blog post, product page, and pricing page.

Conclusion

DeepSeek-V3.1 in Amazon Bedrock delivers transformative enterprise AI with a hybrid architecture balancing deep reasoning and rapid responses.

Combining 685 billion parameters with MoE efficiency, a transparent thinking mode, multilingual support, and a 38% reduction in hallucination, V3.1 provides reliable and interpretable AI for software development, mathematical reasoning, and autonomous workflows. Available through AWS’s fully managed infrastructure with enterprise security and comprehensive tooling, organizations deploy sophisticated AI agents while maintaining data privacy and compliance.​

Drop a query if you have any questions regarding Amazon Bedrock and we will get back to you quickly.

About CloudThat