Moonshot AI Launches 'Kimi Latest' Router Model with 262K Context Window
Moonshot AI released Kimi Latest, a router endpoint that automatically redirects to the most recent model in the Kimi family. The model features a 262,144 token context window, though specific pricing and performance benchmarks have not been disclosed.
Kimi Latest — Quick Specs
Moonshot AI Launches 'Kimi Latest' Router Model with 262K Context Window
Moonshot AI released Kimi Latest on April 27, 2026, a router endpoint that automatically redirects requests to the most recent model in the company's Kimi family. The model offers a 262,144 token context window.
Technical Specifications
The router model is designed to always point to the latest version of Moonshot AI's Kimi models, eliminating the need for developers to manually update model endpoints when new versions are released. This approach mirrors practices used by other AI providers for maintaining current model access.
The 262,144 token context window (approximately 262K tokens) positions the model among large context offerings in the market, though Moonshot AI has not disclosed whether this represents an increase from previous Kimi models.
Availability and Pricing
The model is available through OpenRouter, which normalizes API requests across providers. Pricing per million tokens has not been disclosed. OpenRouter indicates the model supports reasoning-enabled features, allowing access to step-by-step thinking processes through the reasoning_details array in API responses.
No usage activity data is currently available on OpenRouter's platform, as indicated by the provider's dashboard.
Integration Details
Developers can access Kimi Latest through OpenRouter's API using the model identifier ~moonshotai/kimi-latest. The platform supports both OpenRouter SDK and OpenAI SDK integration methods, along with various third-party frameworks.
What This Means
Router endpoints that auto-update to the latest model version reduce integration maintenance for developers but sacrifice version pinning control. The 262K context window suggests Moonshot AI is competing in the long-context segment, though without disclosed pricing or benchmark scores, it's difficult to assess competitiveness against established models from Anthropic (Claude 3.5 with 200K context) or Google (Gemini 1.5 Pro with 2M context). The lack of usage data and performance metrics on OpenRouter may indicate a very recent release or limited early adoption.
Related Articles
Kimi K3.1 Pro launches with 1M-token context, 65.7% on Terminal-Bench 4.0; open weights due by Nov 4
Kimi K3.1 Pro, the first model in the K3.1 series, is a 3T-class open-weight model with a 1-million-token context window. It scores 65.7% on Terminal-Bench 4.0 and is available today on Kimi.com, Kimi Work, Kimi Code and the Kimi API. Full weights will be released by Nov 4.
KRAFTON releases Raon-1 mini preview, a 28.8B-parameter MoE model with 4.3B active and 262,144-token context
KRAFTON AI has released Raon-1 mini preview, a Mixture-of-Experts language model trained from scratch with 28.8B total and 4.3B active parameters. It is Apache 2.0 licensed, supports 262,144 tokens of context, and ships with a speculative decoding draft model that KRAFTON says reaches up to 2.18× higher output throughput on a single NVIDIA B300.
NVIDIA releases Nemotron 3.5 Bolt E4B 4GB, an open small model targeting 4GB of VRAM
NVIDIA released Nemotron 3.5 Bolt E4B 4GB, an open small language model post-trained from Gemma 4 E4B. It targets local voice assistants, game characters and robots, with a footprint of about 4GB of VRAM on RTX and Jetson hardware.
iFLYTEK Healthcare Upgrades Spark Medical Model to V3.7, Claims 99.6 on MedBench 5.0
iFLYTEK Healthcare announced on October 22 a full upgrade of its Spark medical large model to V3.7, and reports a score of 99.6 on MedBench 5.0. The company says the model now combines speech, medical imaging and language understanding for clinical agent use. The benchmark and usage figures are company-reported.
Comments
Loading...