Near-Pro agent scores
Xiaomi's own results put Flash within a few points of Pro on Terminal Bench 2.1, DeepSWE v1.1 and OSWorld-Verified.
The MiMo V2.6 Flash API: Xiaomi's low-cost omnimodal model for high-volume work
mimo-v2.6-flashfrom openai import OpenAIclient = OpenAI( base_url="https://api.zurelay.com/v1", api_key="YOUR_ZURELAY_KEY",)stream = client.chat.completions.create( model="mimo-v2.6-flash", messages=[{"role": "user", "content": "Explain quicksort in two sentences."}], stream=True,)for chunk in stream: if chunk.choices: print(chunk.choices[0].delta.content or "", end="")Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK.
Pricing
Pay as you go from prepaid credit, with no subscription and no minimum. Requests that fail are never billed.
| Rate | zurelay | Xiaomi list | You save |
|---|---|---|---|
Input per 1M tokens | $0.06 | 57%off | |
Output per 1M tokens | $0.12 | 57%off | |
Cached input per 1M tokens | $0.0012 | — | — |
One rate at every prompt length, up to the full 1M context window. Streaming, tool calls and structured outputs cost nothing extra.
Move the sliders to your monthly usage.
$67.20 a year
Overview
MiMo V2.6 Flash is the efficient model in Xiaomi's MiMo-V2.6 series: 15B active parameters, 1M tokens of context, and text, image, audio and video input. The MiMo V2.6 Flash API on zurelay is for teams running high-volume or latency-sensitive workloads who want near-Pro agent results at 57% below Xiaomi's list price.
MiMo V2.6 Flash is the efficient model in Xiaomi's MiMo-V2.6 series, released alongside Pro on September 22, 2026. The MiMo V2.6 Flash API takes text, images, video and audio, returns text, and supports a 1M-token context window with up to 128K output tokens. Xiaomi positions it as the best balance for high-frequency calls and large-scale tasks.
It is a sparse mixture-of-experts model with 309B total parameters and 15B active per token, spread across 48 layers that mix sliding-window and global attention. The small active size keeps it quick and cheap to serve. The weights are open under the MIT license.
Flash was trained the same way as Pro: one mixed reinforcement learning run across coding, general agents, visual tasks and cybersecurity. It stays close to Pro on agent work. Xiaomi reports 87.6 on Terminal Bench 2.1 against Pro's 89.9, 80.8 on OSWorld-Verified against 82.0, and 95.1 on CyberGym, slightly above Pro.
Its list price is about a third of Pro's. On zurelay you call it with any OpenAI SDK using the model ID mimo-v2.6-flash, and pay $0.06 per 1M input tokens and $0.12 per 1M output tokens, against Xiaomi's list price of $0.14 and $0.28.
Strengths
Xiaomi's own results put Flash within a few points of Pro on Terminal Bench 2.1, DeepSWE v1.1 and OSWorld-Verified.
15B active parameters and a list price about a third of Pro's make it practical for high-volume pipelines.
Text, images, video and audio fit in one request, the same input range as Pro.
Long documents, repositories and agent traces fit in one prompt, with room for 128K output tokens.
Use cases
Tag, route or pull fields from large streams of text, images or audio at a low cost per call.
Use Flash for the frequent tool-calling steps in an agent system and keep Pro for planning or final review.
Ask questions about audio clips, video and screenshots directly, without a separate transcription or vision step.
Run code review, test generation and terminal helpers where latency and cost per call matter.
Get started
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to zurelay.
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
mimo-v2.6-flashWorks with the tools you already use
Compare
$0.18 / $0.36 per 1M tokens
Pick MiMo V2.6 Pro for the hardest long-horizon tasks, where its higher scores justify about three times the list price.
MiMo V2.6 Pro API$0.037 / $0.15 per 1M tokens
Pick DeepSeek V4.1 Flash for text and image work when you want up to 384K output tokens per response.
DeepSeek V4.1 Flash API$0.022 / $0.06 per 1M tokens
Pick DeepSeek V4 Flash 0731 for text-only agent work on a fixed, dated checkpoint.
DeepSeek V4 Flash 0731 APIFAQ
Anything else, write to sales@zurelay.com and an engineer will answer.
On zurelay, MiMo V2.6 Flash costs $0.06 per 1M input tokens and $0.12 per 1M output tokens, with cached input at $0.0012. Xiaomi's list price is $0.14 input and $0.28 output, so you save 57%.
zurelay serves mimo-v2.6-flash at 57% below Xiaomi's list price. You pay as you go for the tokens you use, and credit never expires.
Set the OpenAI SDK's base URL to https://api.zurelay.com/v1, use your zurelay API key and pass model "mimo-v2.6-flash". Tool calls and streaming work the same way they do with OpenAI models.
MiMo V2.6 Flash has a 1M-token context window and returns up to 128K output tokens per response, the same limits as Pro.
High-frequency and large-scale work: agents that make many calls, extraction and tagging jobs, and media analysis. Xiaomi trained it on coding, general agents, visual tasks and cybersecurity, and it scores close to Pro on Xiaomi's agent benchmarks.
Both have the same context window, input types and features. Pro has 1.02T total and 42B active parameters and scores a little higher on most of Xiaomi's agent benchmarks. Flash has 309B total and 15B active, costs about a third as much at list price and is the better default for volume.
Yes. Xiaomi released the weights on Hugging Face under the MIT license. You can use the API today and move to self-hosting later on the same model.
Streaming works with stream: true, as with the OpenAI API. You can set a requests-per-minute cap and a monthly budget on each zurelay API key.
Yes. Requests go to MiMo V2.6 Flash, never a substitute model. Responses are sampled, so wording varies between runs, as it does on Xiaomi's own platform. zurelay is independent and not affiliated with Xiaomi.
Create a key in seconds, point the SDK you already use at zurelay, and every request costs up to 85% less from the first token.