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Xiaomimessages

MiMo-V2.6-Flash

Xiaomi's native omni-modal reasoning model balancing leading capability with token efficiency for high-frequency professional workloads.

MiMo-V2.6-Flash is the efficiency-balanced checkpoint in Xiaomi's MiMo-V2.6 series, positioned alongside the flagship MiMo-V2.6-Pro. Built as a sparse MoE model with 309B total parameters and 15B activated parameters, it targets workloads where capability and token cost both matter, sitting on the Pareto frontier of performance and efficiency.

It is natively omni-modal, accepting and jointly understanding images, video, audio, and text, and it supports a 1M-token context window for long-horizon tasks and complex workflows. Native agentic execution lets it browse, understand, reason, and act, with everyday task performance matching mimo-v2.5-pro.

Use it for high-frequency and at-scale professional office work: document processing, information retrieval, content generation, and coding assistance, as well as long-document and long-conversation reasoning and multimedia understanding. When a task demands frontier-level performance or intensive agentic operations, the Pro tier is the better fit.

Open Playground ↗Create API Key ↗Getting started →

Updated:

MODEL ID

mimo-v2.6-flash
Context
1.05M
Max output
131.072K
Recommended API
messages
Input
text / image / video / audio
Output
text

Providers

1 providers

Compare API prices across providers. Select a provider to view all charges and conditions.

Provider · Pricing details
$0.14$0.28$0.0028

Reasoning

Always enabled
No

Quick Start

Drop-in code to call this model with Felo API Platform compatible APIs. Start in the Playground when you want to test prompts before writing code.

Open PlaygroundCreate API Key
1

Get your API key

Create a key from your Felo API Platform account and set it as an environment variable.

export FELO_API_KEY="YOUR_API_KEY"
2

Make your first request

Use this model ID with the Felo API Platform endpoint. Optional request headers such as X-Request-Id can help troubleshooting.

mimo-v2.6-flash

This model is reasoning-capable. If your selected protocol and model route expose reasoning controls, preserve the returned reasoning metadata when continuing a conversation.

const response = await fetch("https://openapi.felo.ai/api/v1/messages", {
  method: 'POST',
  headers: {
    Authorization: `Bearer ${process.env.FELO_API_KEY}`,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "model": "mimo-v2.6-flash",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

Using third-party SDKs

Use compatible SDKs by setting baseURL to https://openapi.felo.ai/api/v1. Use the Anthropic-compatible base URL for Claude-style clients. https://openapi.felo.ai/api.

3

Enable streaming

Add stream: true to receive responses as server-sent events.

curl -N https://openapi.felo.ai/api/v1/messages \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "mimo-v2.6-flash",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "stream": true
}'

Endpoint

Felo API Platform exposes compatible model-calling surfaces. Pick the surface your app or agent client already supports.

SurfaceMethodURL

Messages

Anthropic-compatible messages for Claude-style clients.

POST

https://openapi.felo.ai/api/v1/messages

Parameters

NameTypeDefaultDescription
modelstringmimo-v2.6-flashPublic model ID to call.
max_tokensinteger—Maximum generated tokens.
messagesarray—Conversation messages for Chat Completions.
frequency_penalty———
include_reasoning———
logit_bias———
logprobs———
min_p———
presence_penalty———
reasoning———
repetition_penalty———
response_formatobject—Request structured output when supported.
seed———
stop———
structured_outputs———
temperaturenumber—Controls response variety when supported.
tool_choicestring or object—Controls whether a tool should be called.
toolsarray—Tool calling definitions following compatible schema.
top_k———
top_logprobs———
top_p———

Frequently asked questions

What is MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the efficiency-balanced checkpoint in Xiaomi's MiMo-V2.6 series, positioned alongside the flagship MiMo-V2.6-Pro. Built as a sparse MoE model with 309B total parameters and 15B activated parameters, it targets workloads where capability and token cost both matter, sitting on the Pareto frontier of performance and efficiency. It is natively omni-modal, accepting and jointly understanding images, video, audio, and text, and it supports a 1M-token context window for long-horizon tasks and complex workflows. Native agentic execution lets it browse, understand, reason, and act, with everyday task performance matching mimo-v2.5-pro. Use it for high-frequency and at-scale professional office work: document processing, information retrieval, content generation, and coding assistance, as well as long-document and long-conversation reasoning and multimedia understanding. When a task demands frontier-level performance or intensive agentic operations, the Pro tier is the better fit.

How is usage billed?

Your bill depends on the provider you use, its prices and your usage. Longer inputs or other conditions may have different prices.