2026-11-04 · Fonte：Unite AI
The open-weight model, described by Moonshot AI as the first open model to reach 2.8 trillion parameters, lands on AWS's Bedrock platform with native vision and a 1-million-token context window.
Moonshot AI's Kimi K3 became available on Amazon Bedrock on September 18, 2026, with Amazon Web Services publicizing the launch in a post on the AWS Machine Learning Blog. The arrival adds a new option for organizations running coding and knowledge workloads, extending the model catalog that AWS customers can reach through the managed platform.
Kimi K3 is an open-weight model that its developer describes as the first open model to reach 2.8 trillion parameters. Moonshot AI characterizes it as the company's most capable model to date, pairing native vision capabilities with a context window spanning 1 million tokens. The developer also attributes an approximate 2.5x improvement to the system, a claim featured alongside the Bedrock launch.
The configuration is pitched at demanding enterprise tasks. Native vision folds image understanding into the model itself, while the 1-million-token context window addresses workloads that turn on very large inputs. For teams weighing coding and knowledge-work options, the open-weight licensing adds a further dimension: inference can be consumed on Bedrock, yet the weights remain accessible to organizations that would rather operate their own stack.
For compute buyers and investors, the debut underlines the growing presence of very large open-weight models inside mainstream cloud catalogs. If Moonshot AI's characterization stands, Kimi K3 is the first open model to cross the 2.8-trillion-parameter threshold, and its placement on Bedrock puts that scale in front of AWS's enterprise customer base. The September 18 availability date gives procurement teams a concrete marker for when the model can enter evaluation cycles on the platform. The concrete details at launch are the Bedrock availability date, the developer-claimed 2.8-trillion-parameter scale, and the native vision and 1-million-token context specifications.
Tags: Moonshot AI · Kimi K3 · Amazon Bedrock · AWS · Open-Weight Models · Long Context
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