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Opus 4.5 is available in the Kiro IDE and CLI to support complex code tasks

Opus 4.5 is available in the Kiro IDE and CLI to support complex code tasks

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Development tool platform Kiro announced that its IDE and command-line tools have supported access to Anthropic's latest large model, Claude Opus 4.5, to handle software engineering tasks in complex production environments. According to the official introduction, the model has achieved industry-leading results in software engineering benchmarks such as SWE-bench, and can weigh implementation options and uncertainties in a multi-system environment, making it suitable for implementing complex functions, fixing difficult defects, and supporting specification-centric development processes.

Opus 4.5 is currently available in Kiro as "experimental support" for users who log in through Google, GitHub, and AWS BuilderID, and AWS IAM Identity Center is not currently supported. The model has a billing coefficient of 2.2 times in Kiro, which is higher than 1.3 times that of Sonnet 4.5 and 0.4 times that of Haiku 4.5.

Combined with the Auto capabilities provided by Kiro, the platform recommends Opus 4.5 for difficult requirements clarification, specification and architecture design, and long-time proxy tasks, leaving daily feature development to a lower-cost model. Since it is still in the experimental stage, product details and performance may continue to be updated, and developers are encouraged to try it out in real projects and feedback on the experience through community channels.

Frequently Asked Questions

Q: What is the core content of this update?

A: Kiro has integrated Anthropic's Claude Opus 4.5 into its IDE with CLI for complex production-level software development, highlighting its leading performance on benchmarks like SWE-bench.

Q: What can Opus 4.5 do in Kiro?

A: It can be used to understand and transform large codebases, generate development specifications and architecture designs, implement complex features, fix cross-system defects, and support long-time series agents to perform multi-step development tasks.

Q: Who can currently use Opus 4.5 in Kiro?

A: This model is currently only available to users who sign in with Google, GitHub, or AWS BuilderID, and customers who sign in with AWS IAM Identity Center are not available for now.

Q: What should I pay attention to in terms of cost?

A: Opus 4.5 has a billing factor of 2.2 times in Kiro, and the cost is significantly higher than Sonnet 4.5 and Haiku 4.5, making it more suitable for high-value, complex tasks, while lower cost models can be prioritized for daily development.

Q: Is this support fully stable?

A: Officially marked Opus 4.5 as "Experimental Support", features and performance may still be adjusted, and it is recommended to continue to use it in key production scenarios with code review and existing testing and monitoring processes.

Kiro integrates Anthropic Claude Opus 4.5 The Kiro development tool supports the Opus 4.5 model ClaudeOpus4.5 complex software engineering capabilities KiroIDE command-line access to large models Opus4.5 in SWEbench benchmark score What model is used for the development of complex functions in the production environment Cost comparison and selection of Kiro platform multi-model Opus4.5 is suitable for difficult scenarios KiroAuto auto-routes high-low-cost models Spec drive development using Opus 4.5 Kiro medium to long time series proxy multi-step development practice Use large model understanding to transform large codebase methods Opus4.5 cross-system bug repair application Large model workflows for specification and architecture design How to use Opus4.5 for Google GitHub logged in The AWS BoyderID account calls Opus4.5 in Kiro The Opus 4.5 description is not supported by AWS Ami DentityCenter at the moment Kiro Integrated Model Billing Coefficient 2.2 Notes Cost and performance comparison between Sonnet 4.5 and Haiku4.5 Balance hashrate consumption with overall costs in Kiro Prioritize the Opus4.5 strategy for high-value complex tasks Daily functional development selects low-cost model recommendations Opus4.5 Experimental Support Release Risk Warning How to safely use large models in key production scenarios Combine testing and monitoring to ensure the code quality of large models Developers try out Opus4.5 experience in real projects Feedback on the Kiro model experience through community channels Multi-system environment development solutions supported by the Kiro platform Large models weigh the implementation scheme and uncertainty approach Use Opus4.5 to generate development specifications and technical documentation KiroIDE embeds intelligent assistants to improve development efficiency Modern software development process based on specifications How to use large models to support architecture review and design Opus4.5 Implementation Guide in Enterprise Production Environments Kiro large model practice for full-stack engineers Kiro command-line tool calls large model examples Use Opus4.5 in a single-warehouse multi-service scenario Large model proxy applications in long-term iteration projects Large model assists code review and defect location skills KiroAuto is used to automatically select the optimal inference model Overview of Kiro-supported Anthropic model family buckets How to choose different models in Kiro based on task difficulty Large model solution for defect troubleshooting of complex microservice systems Best practices for specification-centric AI-assisted development Intelligent development workflows for cloud-native environments Kiro Integrating Claude Model Impact on Team Collaboration How the development team evaluates Opus4.5 inputs Interpretation of the new paradigm of software engineering driven by large models Build an AI-enhanced software engineering platform with Kiro Kiro model updates that developers are paying attention to in 2025

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