# Atlas with Kimi K2 0711 in 2026 > Kimi K2 0711, the first trillion-parameter-class open model, offers a 128K token context window for Atlas users. Kimi K2 0711, a foundational open-weights model from July 2025, offers Atlas users a cost-effective entry into trillion-parameter-class agentic tool use. Priced at $0.60 per Mtok input, it provides a 128K token context window, making it suitable for many coding tasks within Atlas, despite its tighter 16,384 output token cap. ## Key takeaways - Kimi K2 0711 offers a 128K token (131,072) context window for Atlas. - Input pricing is $0.60 per Mtok, with output at $2.50 per Mtok. - The model has a tight 16,384 max output token cap, requiring scoped edits. - It was the first trillion-parameter-class open model good at agentic tool use. - Kimi K2 0711 is open-weights, ensuring reproducibility via moonshotai/Kimi-K2-Instruct. ## What Kimi K2 0711 is best at inside Atlas Kimi K2 0711 excels within Atlas for agentic tool use, leveraging its 1 trillion total parameters to process complex code tasks. This model, released in July 2025, was a significant price shock, making open agentic models viable at just $0.60 per Mtok input, a key factor for developers in 2026. Kimi K2 0711, from Moonshot AI, was the original K2 preview from July 2025 and the first trillion-parameter-class open model that demonstrated strong capabilities in agentic tool use. Its architecture, which defined the entire K2 line, features 1T total parameters with 32B activated per token across 384 experts, trained with the Muon optimizer. This makes it particularly effective for Atlas's agentic workflows, such as drafting plans in a read-only plan agent and executing actions via a build agent. The model's open weights, available at moonshotai/Kimi-K2-Instruct, ensure that this exact preview checkpoint remains reproducible, offering stability for long-term projects. Its initial pricing of $0.60 per Mtok input was groundbreaking, making high-capability open agentic models accessible and setting a new standard for cost-efficiency in 2025. ## Cost and context tradeoffs of Kimi K2 0711 Atlas users considering Kimi K2 0711 in 2026 will find its pricing competitive at $0.60 per Mtok input and $2.50 per Mtok output, paired with a substantial 128K token context window. However, a significant tradeoff is its 16,384 max output token cap, which is the tightest in the K2 family. The Kimi K2 0711 model offers a generous 128K tokens (131,072) context window, allowing Atlas to process large codebases and extensive conversational histories. This large input capacity is coupled with an attractive input price of $0.60 per Mtok. Output tokens are priced at $2.50 per Mtok. The primary tradeoff for Atlas developers is the model's 16,384 max output token cap. This limit means that large multi-file generations or extensive code modifications requested from Atlas may be truncated. For comparison, later models like K2 0905 offer a much larger 262,144 output token capacity. When using Kimi K2 0711, Atlas's unified diff review feature becomes crucial, allowing developers to approve or adjust edits in smaller, manageable chunks to work around this output constraint. ## When to pick a different model than Kimi K2 0711 While Kimi K2 0711 was a breakthrough in July 2025, developers in 2026 should consider alternatives for tasks requiring extensive output or advanced reasoning. Its 16,384 output token cap is a significant limitation, and later K2 checkpoints often outperform it on agentic benchmarks at similar or lower costs. Developers should consider a different model if their Atlas workflows frequently involve generating large volumes of code across multiple files or require more sophisticated reasoning capabilities. Kimi K2 0711's 16,384 max output tokens is the tightest cap within the K2 family, leading to potential truncation for ambitious generation tasks where models like K2 0905, with its 262,144 output capacity, would not encounter such issues. Furthermore, Kimi K2 0711 is noted as 'non-reasoning' compared to its successors. Later K2 checkpoints have surpassed Kimi K2 0711 on nearly every agentic benchmark, often at the same or even lower price points. For Atlas users, this means that while Kimi K2 0711 is excellent for reproducible, cost-effective agentic tasks with scoped edits, more demanding or complex projects might benefit from a newer, more capable K2 model to avoid output truncation and leverage improved reasoning. ## Setup 1. Get a Moonshot key, then export MOONSHOT_API_KEY or run `atlas login` and select Moonshot AI. 2. Run `atlas models moonshotai` and confirm `kimi-k2-0711-preview` appears. 3. Set `"model": "moonshotai/kimi-k2-0711-preview"` in atlas.json. 4. Because of the 16,384 output cap, keep Atlas edits scoped to a few files per turn and lean on the unified-diff review between rounds. ## FAQ ### What is Kimi K2 0711 and its significance for Atlas? Kimi K2 0711, released in July 2025, was the first trillion-parameter-class open model effective for agentic tool use. For Atlas, it provides a cost-effective option for agentic coding tasks, leveraging its powerful architecture. ### What is the context window size for Kimi K2 0711 in Atlas? Kimi K2 0711 provides a 128K token (131,072) context window for Atlas, enabling it to handle substantial codebases and conversational history during development. ### How much does Kimi K2 0711 cost for Atlas users? For Atlas users, Kimi K2 0711 is priced at $0.60 per Mtok for input tokens and $2.50 per Mtok for output tokens, offering a competitive rate for its class. ### What are the main limitations of Kimi K2 0711 when used with Atlas? The primary limitations are its 16,384 max output token cap, which can truncate large generations, and its 'non-reasoning' nature compared to later K2 models that offer improved agentic benchmarks. ### Is Kimi K2 0711 suitable for large, multi-file code generations in Atlas? Due to its 16,384 output token cap, Kimi K2 0711 is less suitable for very large, multi-file code generations. Atlas users should scope edits to a few files per turn and rely on the unified-diff review. ### Are the weights for Kimi K2 0711 open, and what does that mean for Atlas? Yes, Kimi K2 0711 is an open-weights model, available at moonshotai/Kimi-K2-Instruct. This ensures that the exact preview checkpoint remains reproducible for Atlas users, even as Moonshot's API evolves. ### How does Kimi K2 0711 compare to newer K2 models for Atlas development? Newer K2 models, such as K2 0905, generally offer larger output caps (e.g., 262,144 tokens) and improved performance on agentic benchmarks, often at similar or lower prices, making them better for more demanding tasks. --- Canonical HTML: https://seashell.sh/resources/models/kimi-k2-0711 Source of truth: aeo_pages row `/resources/models/kimi-k2-0711` (segment: Models) (this file is generated from it, never hand-edited). Licence: SeaShell is proprietary with a free core. It is not open source and there is no public source repository.