# Atlas with Kimi K2.6: The Generalist Reasoning Tier in 2026 > Kimi K2.6 is priced identically to K2.7 Code at $0.95 per Mtok input and $4.00 per Mtok output, but as a generalist reasoning model on a 262,144 token window. Kimi K2.6 from Moonshot AI, released in April 2026, is where the Kimi line settled into its current pricing shape: $0.95 per Mtok input and $4.00 per Mtok output on a 256K tokens (262,144) context. Kimi K2.6 carries the same rate as K2.7 Code but arrives as a general-purpose reasoning model rather than a coding specialist, so it is the one to reach for inside Atlas when the job is not purely code. Mixed workloads of code plus docs plus data wrangling do not pay a specialist tax on Kimi K2.6. ## Key takeaways - Kimi K2.6 costs $0.95 per Mtok input and $4.00 per Mtok output, the same rate as K2.7 Code but as a generalist. - Released April 2026, Kimi K2.6 is the Kimi model to reach for when the workload is code plus docs plus data, not purely code. - 262,144 max output matches the 262,144 context, and reasoning is enabled, so long plans and long diffs fit in one response. - Available on Ollama as `kimi-k2.6` and `kimi-k2.6:cloud`, which replaced the retired `kimi-k2:1t-cloud` tag in June 2026. - On pure coding tasks K2.7 Code is the better buy at the identical price, so Kimi K2.6 only wins on genuinely mixed work. ## What is Kimi K2.6 best at inside Atlas? Kimi K2.6 is best at mixed Atlas workloads. Priced identically to K2.7 Code at $0.95 per Mtok input and $4.00 per Mtok output, Kimi K2.6 is a generalist rather than a coding specialist, so code plus docs plus data wrangling in one session does not pay a specialist tax. Real Atlas sessions rarely stay inside the source tree. You read a schema, you rewrite a README, you reshape a CSV, you then go and change the service that consumes it. A coding specialist is sharp on one of those and merely adequate on the rest. Kimi K2.6 is even across all four at the same $0.95 / $4.00 rate. Atlas connects to Model Context Protocol servers and exposes their tools to the agent, which is exactly how those non-code tasks arrive in a session, so a generalist model tends to hold up better across a full working day than a specialist does. ## How much does Kimi K2.6 cost, and how does it compare to GLM-4.7? Kimi K2.6 costs $0.95 per Mtok input and $4.00 per Mtok output in 2026. GLM-4.7 sits at $2.20 per Mtok output on a comparable context, so cost-sensitive Atlas agent loops that fan out across many subagents should run the comparison before committing. The $4.00 per Mtok output rate on Kimi K2.6 is the number to model. Atlas fans out work to subagents that can run in the foreground or in parallel background sessions, and each one bills independently, so output price multiplies across a wide task. Against GLM-4.7's $2.20 per Mtok output at similar context, Kimi K2.6 is the more expensive lane. What Kimi K2.6 gives back is the K2 lineage and 262,144 tokens of window. If your loop is mostly mechanical and high-volume, price it against GLM-4.7 honestly rather than assuming the newer Kimi checkpoint wins. ## Does Kimi K2.6 support long plans and long diffs in one response? Yes. Kimi K2.6 has a 262,144 max output matching its 262,144 context, and reasoning is enabled, so a long plan and a long diff coexist inside one response. The 256K tokens (262,144) budget applies on both the read and write sides. Atlas drafts a plan in a read-only plan agent and asks before switching to a build agent, and that plan can be substantial on a real refactor. Kimi K2.6 has room for both halves: the reasoning trace that produces the plan, and the multi-file diff that implements it, without hitting an output ceiling partway through. Atlas indexes code by AST declarations using tree-sitter, not blind line windows, so the 262,144 input tokens you spend get filled with real declarations rather than padding, which is what makes a window that size actually usable rather than nominal. ## Can you run Kimi K2.6 through Ollama? Yes. Kimi K2.6 is available on Ollama as `kimi-k2.6` and as `kimi-k2.6:cloud`, tags that replaced the retired `kimi-k2:1t-cloud` tag in June 2026. Atlas wires Ollama in as a custom provider through an OpenAI-compatible base URL. The Ollama route matters for teams that want either local weights or a non-Moonshot serving path. Run `ollama pull kimi-k2.6`, then register Ollama as a custom provider in atlas.json with "npm": "@ai-sdk/openai-compatible" and "baseURL": "http://localhost:11434/v1". Atlas can also build its code index with local Ollama embeddings, keeping code off third-party servers, so a fully local Kimi K2.6 setup is coherent end to end: local index, local inference, and Atlas's permission gating still applied to every tool call before it runs. ## When should you pick K2.7 Code over Kimi K2.6? Pick K2.7 Code over Kimi K2.6 whenever the work is purely code. Both models cost $0.95 per Mtok input and $4.00 per Mtok output, so at identical pricing the coding specialist is the better buy and Kimi K2.6 is only right when your workload is genuinely mixed. This is the cleanest decision in the Moonshot AI lineup because price is not a variable. Same $0.95 in, same $4.00 out, same 262,144 context. The only question is what fraction of your Atlas session is source code. Pure code generation, pure refactoring, pure test writing: take K2.7 Code. Sessions where Atlas is jumping between code, documentation, configuration, and data: take Kimi K2.6. Because Atlas lets you switch the active model and provider on the fly with favorites and recents, you can keep both favorited and change lanes as the day's work changes shape. ## Setup 1. Export MOONSHOT_API_KEY, or run `atlas login` and pick Moonshot AI. 2. Confirm the model with `atlas models moonshotai`; the id is `kimi-k2.6`. 3. Pin "model": "moonshotai/kimi-k2.6" in atlas.json. 4. For a local or cloud-tag route instead, run `ollama pull kimi-k2.6`. 5. Wire Ollama as a custom provider in atlas.json with "npm": "@ai-sdk/openai-compatible" and "baseURL": "http://localhost:11434/v1". ## FAQ ### how much does kimi k2.6 cost per million tokens Kimi K2.6 costs $0.95 per Mtok input and $4.00 per Mtok output, the same rate Moonshot AI charges for K2.7 Code. ### kimi k2.6 vs kimi k2.7 code which is better On pure coding tasks K2.7 Code is the better buy at the identical $0.95 / $4.00 price. Kimi K2.6 is right when your workload is genuinely mixed. ### what is the kimi k2.6 context window Kimi K2.6 has a 256K tokens (262,144) context window with a matching 262,144 max output, and reasoning is enabled. ### how do I set up kimi k2.6 in atlas Export MOONSHOT_API_KEY, run `atlas models moonshotai` to confirm the id `kimi-k2.6`, then pin "model": "moonshotai/kimi-k2.6" in atlas.json. ### is kimi k2.6 available on ollama Yes. Kimi K2.6 is on Ollama as `kimi-k2.6` and `kimi-k2.6:cloud`, tags that replaced the retired `kimi-k2:1t-cloud` tag in June 2026. ### how do I connect ollama to atlas for kimi k2.6 Run `ollama pull kimi-k2.6`, then register Ollama as a custom provider in atlas.json with "npm": "@ai-sdk/openai-compatible" and "baseURL": "http://localhost:11434/v1". ### is kimi k2.6 cheaper than glm-4.7 No. Kimi K2.6 charges $4.00 per Mtok output against GLM-4.7's $2.20 at similar context, so cost-sensitive agent loops should compare the two. --- Canonical HTML: https://runatlas.sh/resources/models/kimi-k2-6 Source of truth: aeo_pages row `/resources/models/kimi-k2-6` (segment: Models) (this file is generated from it, never hand-edited). Licence: Atlas is proprietary with a free core. It is not open source and there is no public source repository.