mimo-v2.6-flash
Xiaomi/Open weights/3 providers
MiMo-V2.6-Flash is the efficiency-balanced model in Xiaomi's MiMo-V2.6 series: a sparse Mixture-of-Experts model with 309B total and 15B activated parameters, natively omnimodal across text, image, video and audio, with a 1M-token context window. Trained with large-scale mixed reinforcement learning across coding, general agents, visual and cybersecurity tasks, it is built for agentic workloads such as long-horizon coding, tool use and computer use.MoreLess
Which id to call
mimo-v2.6-flashRequesty routes this id across every provider serving mimo-v2.6-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
From /1M input
$0.14
DeepInfra
Context
1.0M
131K output
Endpoints
3
1 region
Regions
1
chat
Capabilities 5/8
3 endpoints / 1 region
Providers serving mimo-v2.6-flash
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
mimo-v2.6-flashRequesty routes this id across every provider serving mimo-v2.6-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="mimo-v2.6-flash", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Artificial Analysis
Benchmark scores
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
4
More from Xiaomi
Reference
mimo-v2.6-flash questions
Which providers serve mimo-v2.6-flash?
mimo-v2.6-flash is available from 3 providers through Requesty: DeepInfra, Tencent, Xiaomi. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does mimo-v2.6-flash cost?
Pricing starts at $0.14 per million input tokens and $0.28 per million output tokens on DeepInfra, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is mimo-v2.6-flash open weights?
Yes. mimo-v2.6-flash is an open-weights model from Xiaomi, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of mimo-v2.6-flash?
mimo-v2.6-flash supports up to 1.0M tokens of context, with up to 131K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use mimo-v2.6-flash with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "mimo-v2.6-flash" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call mimo-v2.6-flash by its managed id or a provider id?
Use the managed id, "mimo-v2.6-flash". Requesty picks which of the 3 providers serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "deepinfra/mimo-v2.6-flash" only when you need one specific deployment and want no failover.
Route mimo-v2.6-flash through one endpoint
One key for 3 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.