Fireworks AI Launches Day-0 Support for Kimi K2.6 Agentic Model

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Fireworks AI added immediate support for Kimi K2.6, a 1-trillion parameter multimodal model optimized for long-horizon agentic coding. The update provides the high-speed inference and fine-tuning infrastructure needed to run the successor to the model that powered Cursor's Composer 2.

Fireworks AI, an inference platform for fast model serving, launched Day-0 support for Kimi K2.6 from Moonshot AI. This native multimodal Mixture-of-Experts (MoE) model (an architecture using specialized sub-networks for efficiency) features 1 trillion total parameters and is specifically designed for agentic tasks like long-horizon coding.
Model architecture
Mixture-of-Experts
Total parameters
1 trillion
Activated parameters
32 billion
Context window
256K tokens
Max autonomous steps
4,000 steps
Availability
Fireworks AI API

This release aligns with the industry shift toward specialized coding models like Kimi K2.5, which powered Cursor Composer 2. By providing immediate access to K2.6, Fireworks AI enables developers to build on a model matching the 4,000 autonomous step capability without losing context or drifting from the task.

You can now access Kimi K2.6 via the Fireworks API for both inference and fine-tuning. The model supports a 256K token context window (the data the model can process at once) and is optimized for low-latency performance. This enables rapid deployment of multi-agent systems mirroring top-ranked programming performance seen on third-party leaderboards.

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We’re launching Kimi K2.6 on Fireworks as a Day-0 launch partner! K2.5 was the base for standout models like @Cursor’s Composer 2 and was the most popular model on our training platform. K2.6 on Fireworks raises the bar again. → Optimized across the stack, from custom https://t.co/rewjXcE1eT

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Still wondering? A few quick answers below.

Kimi K2.6 is an open-source, native multimodal Mixture-of-Experts model developed by Moonshot AI. It features 1 trillion total parameters with 32 billion activated per token. The model is specifically optimized for agentic workflows, including long-horizon coding tasks and advanced tool calling, making it a significant upgrade over the previous K2.5 version.

You can access Kimi K2.6 through the Fireworks AI inference and fine-tuning platform via their API. Fireworks AI provides Day-0 support, meaning the model is available for immediate use following its release. This includes high-speed inference for production workloads and the ability to fine-tune the model for specific domain requirements.

Kimi K2.6 is designed for long-horizon agentic coding, which allows AI agents to execute over 4,000 autonomous steps without losing track of the task or context. It builds on the success of Kimi K2.5, which was the foundation for tools like Cursor Composer 2, and offers improved performance in coding-driven design and planning.

Kimi K2.6 supports a 256K token context window, allowing it to process and reason over large codebases or long documents in a single interaction. This large window is essential for its agentic capabilities, as it provides the necessary space for the model to maintain state during complex, multi-step autonomous operations.

Yes, Kimi K2.6 is an open-source model. This allows developers and researchers to download the weights or access them through hosted providers like Fireworks AI. Its open nature, combined with its 1-trillion parameter Mixture-of-Experts architecture, makes it a powerful alternative to closed frontier models for building custom agentic applications.

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