AWS Expands Bedrock Platform with Claude Haiku 5.5 and GPT-6.1 Terra
Amazon Web Services has updated Amazon Bedrock and AgentCore with new low-cost and specialized AI models, including Anthropic's Claude Haiku 5.5 and OpenAI's GPT-6.1 Terra.
🤖AI ModelsPhoto: AWS Machine Learning Blog
Key points
- Anthropic's Claude Haiku 5.5 arrives on Bedrock with effort controls and a 75 percent cost reduction over Haiku 4.5.
- OpenAI's GPT-6.1 Terra reaches general availability, offering 1-million-token input support at half the price of GPT-6.1 Sol.
- AgentCore CLI reaches version 1.0 alongside new Gateway features supporting automated model fallback during API throttling.
Amazon Web Services has expanded its Amazon Bedrock platform and Bedrock AgentCore suite with a fresh roster of third-party and proprietary artificial intelligence models. The enterprise cloud provider introduced Anthropic's Claude Haiku 5.5, OpenAI's GPT-6.1 Terra, and its own Amazon Nova 2.5 Sonic, alongside operational updates designed to lower running costs and improve reliability for multi-agent systems.
The model additions focus heavily on balancing performance with operational costs for high-volume tasks. Anthropic's Claude Haiku 5.5 reduces expenses by roughly 75 percent compared to version 4.5 for most workloads and introduces effort controls to tune intelligence against budget. Meanwhile, OpenAI's GPT-6.1 Terra has achieved general availability on Bedrock, featuring a 1-million-token context window and token pricing at least 50 percent lower than GPT-6.1 Sol, while operating over three times faster than GPT-6 Astra on evaluation benchmarks.
AWS also rolled out specialized systems and infrastructure updates for enterprise developers. Its proprietary Amazon Nova 2.5 Sonic speech-to-speech model offers enhanced reasoning and tool-calling capabilities at the same price point as its predecessor. For specialized workflows, Bedrock now features Z.ai's open-weight GLM 5.3 for software engineering and TwelveLabs Pegasus 1.5 for single-pass video indexing. Additionally, AWS launched version 1.0 of the AgentCore command-line interface and introduced model fallback capabilities to maintain service availability when primary endpoints face throttling.
What to watch next: Enterprise adoption rates for multi-agent architectures will depend on whether these lower-cost subagents can maintain accuracy across complex production environments.
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