MiMo V2.6 Pro and Flash are live on APIMaster

What launched

Xiaomi released the MiMo-V2.6 family on September 22, 2026 and opened the weights, technical report and reinforcement-learning resources. The API uses lowercase IDs:

Model	Best fit	APIMaster input / output (USD per 1M tokens)	Xiaomi list price (RMB per 1M tokens)
mimo-v2.6-pro	Deep reasoning, coding, research and long-running agents	$0.435 / $0.87	¥3 / ¥6
mimo-v2.6-flash	High-volume agent and production workloads	$0.14 / $0.28	¥1 / ¥2

The APIMaster figures are the live user prices returned by the marketplace API, checked on 2026-09-22. Supply, route status and currency conversion can change; the card linked above is authoritative.

MiMo-V2.6 strengths developers can use

Native multimodality and long-horizon reasoning

MiMo-V2.6 is trained as a native full-modality family rather than a text-only model with a separate vision add-on. Xiaomi describes text, image and video understanding, visual feedback loops, and 1M-token training contexts. That combination is useful when an agent must read a large codebase, inspect screenshots, operate a browser and keep a long task history in one run.

Agentic coding and tool use

The release reports large-scale RL over Code, General, Visual and Cyber environments. Pro is aimed at complex software engineering, research and multi-step tool use. Xiaomi reports DeepSWE v1.1 improvements from 58.4 to 72.6 for Pro and from 48.8 to 65.7 for Flash during the live training experiment. Those are vendor-reported offline results, so test your own workload before committing to a model.

Computer use, 3D and visual creation

The models can break down a 3D game or Blender task into subtasks, write interaction logic, inspect rendered output and iterate. Xiaomi also demonstrates visual feedback control for a simulated robotic arm and computer-use workflows that operate common productivity software. For product teams, the same capabilities extend to front-end prototypes, Figma designs, slides, SVG, video and music creation.

Open research resources

Xiaomi released Pro and Flash weights and technical reports, plus a MiMo-V2.6-Distill-Qwen-9B model and more than 7,000 RL task environments. The resources cover end-to-end training, reward evaluation and composable agent harnesses, giving teams a way to reproduce or adapt the training ideas.

Pro or Flash?

Choose Pro when correctness on difficult reasoning, code repair, research synthesis or long-running agent loops matters more than the lowest token bill. Choose Flash for high-throughput automation, routing, extraction and interactive products where the lower price and faster responses matter. Both models share the same API shape and multimodal family, so you can start with Flash and route hard cases to Pro without changing your integration.

The official announcement says Pro reaches 46 on the Artificial Analysis Intelligence Index and reports performance comparable to Claude Opus 5 and GPT-5.6 Sol on many agent benchmarks; it also says Flash surpasses MiMo-V2.5-Pro. Treat those comparisons as Xiaomi's stated results and verify latency, tool-call reliability and successful-task cost in your environment.

Call MiMo V2.6 through the APIMaster API

APIMaster exposes both models through an OpenAI-compatible endpoint. Create an account, generate a key, and set only the model ID when switching between Pro and Flash:

curl "https://apimaster.ai/v1/chat/completions" \
  -H "Authorization: Bearer $APIMASTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mimo-v2.6-pro",
    "messages": [
      {"role": "user", "content": "Review this pull request and list the highest-risk changes."}
    ]
  }'

For a lower-cost path, change the value to mimo-v2.6-flash. Use the lowercase spelling shown in the official Xiaomi documentation and on the APIMaster cards.

FAQ

Are MiMo-V2.6 Pro and Flash available on APIMaster?

Yes. Both mimo-v2.6-pro and mimo-v2.6-flash have one active APIMaster route as of 2026-09-22. Check each model card or Flash card for current availability.

How much do the two models cost?

The checked APIMaster prices are $0.435 input / $0.87 output for Pro and $0.14 / $0.28 for Flash per 1M tokens. Xiaomi's list prices are ¥3/¥6 and ¥1/¥2 respectively. Prices and route supply can change, so use the live cards before estimating a production bill.

What is the difference between Pro and Flash?

Pro is the higher-capability option for difficult reasoning, coding and long-horizon agents. Flash is optimized for lower-cost, higher-volume work while retaining the family’s multimodal and agent abilities. Use a workload benchmark to decide where to route each request.

What context length does MiMo-V2.6 support?

Xiaomi describes 1M-token contexts in its large-scale RL training. The effective limit for a specific API route can change with serving configuration; check the current model documentation and test the request shape you need.

Is MiMo-V2.6 open source?

Yes. Xiaomi released the Pro and Flash weights, technical reports, a Distill-Qwen-9B research model and RL environments on its MiMo-V2.6 collection. The release includes research code and harness components for agent training.

Sources and verification

• Xiaomi MiMo-V2.6 announcement — release date, prices, model IDs, capabilities and vendor-reported benchmarks.
• MiMo-V2.6 open-source collection — weights and research resources.
• APIMaster live marketplace data for mimo-v2.6-pro and mimo-v2.6-flash, checked 2026-09-22.

Start using MiMo-V2.6 on APIMaster

Create an APIMaster account, generate a key in the console, point your OpenAI-compatible client at https://apimaster.ai/v1, and set model to mimo-v2.6-pro or mimo-v2.6-flash. One key gives you a simple way to compare both variants, monitor cost, and move production traffic to the route that performs best for your workload.