2026-10-20

MiMo-V2.5 Goes Offline Tomorrow at 10:00: Your V2.6 Migration Checklist (Oct 20, 2026)

MiMo-V2.5 Goes Offline Tomorrow at 10:00: Your V2.6 Migration Checklist (Oct 20, 2026)

One-line takeaway: Xiaomi's official notice: mimo-v2.5-pro / mimo-v2.5 retire on Oct 21, 2026 at 10:00 (UTC+8). If your code still references the old model names, spend 10 minutes switching today — requests will fail outright tomorrow.

What you need

Step by step

Step 1: Read the official deprecation notice, memorize the mapping

Xiaomi published a formal deprecation notice in the MiMo open-platform docs. The timeline is unambiguous:

Xiaomi MiMo official deprecation notice: V2.5 series retires Oct 21 10:00

Step 2: Grep for old model names and swap the IDs

Search your projects for mimo-v2.5:

# find every reference to the old models
grep -rn "mimo-v2.5" --include="*.py" --include="*.ts" --include="*.js" --include="*.json" --include="*.yaml" .

Replacement map:

Old (dead tomorrow) New (switch to)
mimo-v2.5-pro mimo-v2.6-pro
mimo-v2.5 mimo-v2.6-flash

Calling via OpenRouter? The new model IDs there are Xiaomi: MiMo-V2.6-Pro (and the Flash counterpart), priced the same as the official API — Pro at $0.435/$0.87 per million input/output tokens, Flash at $0.14/$0.28. Xiaomi says V2.6 keeps previous-gen pricing.

Xiaomi models on OpenRouter: V2.6 pricing and model list

Step 3: Check three parameter changes — don't just swap names

The official notice documents V2.6 behavior changes. A bare model-name swap can silently change behavior:

  1. No more custom temperature / top_p in thinking mode: v2.6-flash and v2.6-pro force temperature: 1.0 and top_p: 0.95 — anything you pass is ignored. If you tuned sampling params before, delete or comment out that logic.
  2. max_completion_tokens default changed: mimo-v2.5 defaulted to 32768; mimo-v2.6-flash defaults to 131072. If you relied on the default for truncation/pagination, outputs can now be 4× longer — either pass the param explicitly or check downstream handling.
  3. Multimodal is new: mimo-v2.6-pro accepts image input. If you previously routed around v2.5-pro's text-only limit (e.g., calling a separate vision model), you can simplify the chain.

Step 4: Regression-test these three things before production

Third-party benchmark: mimo-v2.5-pro agent-task scores

Notes, costs, pitfalls

Sources