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Chat Completions API

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4

MODELS · 1 SOURCE · AWS Machine Learning

SpaceXAI's Grok 4.7 added to Amazon Bedrock

SpaceXAI announced Grok 4.7 is available on Amazon Bedrock with features aimed at long-horizon agent workloads: a 500K-token context window, tool calling, configurable reasoning-effort levels (low/medium/high/xhigh), and support for Chat Completions/Responses and the Bedrock Converse API. In SpaceXAI's tests of a tool-calling agent on three search-style tasks, the agent answered 67 of 72 runs correctly (18/18 at xhigh; 15/18 at low), illustrating a tunable trade-off between correctness and token use; Bedrock access uses cross-Region inference profiles and requires specific IAM permissions.

7.0

MODELS · 1 SOURCE · AWS Machine Learning

Z.ai GLM 5.3 (753B MoE) now available on Amazon Bedrock

Z.ai’s GLM 5.3, a 753‑billion‑parameter mixture‑of‑experts model optimized for coding and long‑horizon agentic tasks and reported to show strong cybersecurity performance, is now available to eligible enterprise customers via Amazon Bedrock. The Bedrock integration offers OpenAI‑compatible APIs (Responses and Chat Completions), Bedrock Invoke/Converse, cross‑Region inference, implicit/explicit prompt caching, and service tiers to simplify managed access and reduce latency and cost.

7.0

MODELS · 1 SOURCE · AWS Machine Learning

xAI’s Grok 4.7 becomes available on Amazon Bedrock

xAI has made Grok 4.7 available via Amazon Bedrock (served through the bedrock-runtime endpoint with cross-Region inference profiles). The model offers a 500K-token context window, four configurable reasoning-effort levels (low/medium/high/xhigh), improved long-horizon self-verification for coding and knowledge work, new safeguards, and support for Responses, Chat Completions, InvokeModel and Converse APIs.

8.0

MODELS · 1 SOURCE · AWS Machine Learning

Moonshot AI's Kimi K3 (2.8T, 1M-token) now available on Amazon Bedrock

Moonshot AI's Kimi K3 is now available on Amazon Bedrock. Per Moonshot, Kimi K3 is the company's most capable open-weight model (2.8 trillion parameters) with native vision, a 1‑million‑token context window, and ~2.5x scaling-efficiency improvement over Kimi K2; Bedrock also supports explicit prompt caching, Responses/Chat Completions APIs, regional/global inference profiles, and AWS data protections (zero data retention and zero operator access).

7.0