What this error means

Model alias kimi-k2.6 incorrectly maps to K2.5 — both endpoints return same model in cloud is a Ollama failure pattern reported for developers trying to fix ollama cloud model kimi-k2.6 returning wrong model (k2.5 instead of k2.6). Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

The kimi-k2.6 cloud model endpoint returns Kimi K2.5 instead of K2.6. Both kimi-k2.6 and kimi-k2.5 endpoints return the same underlying model. Reproducible via curl to https://ollama.com/api/generate with model parameter.

Common causes

  • Developers expecting Kimi K2.6 model get K2.5 instead. Both kimi-k2.6 and kimi-k2.5 endpoints return identical model output. This affects API consumers who rely on specific model versions for their applications.
  • The kimi-k2.6 cloud model endpoint returns Kimi K2.5 instead of K2.6. Both kimi-k2.6 and kimi-k2.5 endpoints return the same underlying model. Reproducible via curl to https://ollama.com/api/generate with model parameter.

Quick fixes

  1. Confirm the exact error signature matches Model alias kimi-k2.6 incorrectly maps to K2.5 — both endpoints return same model in cloud.
  2. Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.