Xiaomi's open-weight, multimodal reasoning model — 1M context, vision, audio, video, and tool use at aggressive pricing.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "xiaomi-mimo-v2-6-flash",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Overview
MiMo-V2.6-Flash is Xiaomi's open-weight, multimodal reasoning model released in September 2026. It supports text, image, audio, and video input with a 1M-token context window, excels in function calling and web search, and is optimized for cost-efficient, high-frequency use in professional workflows.
On Venice, MiMo-V2.6-Flash runs with zero retention — your prompts are never stored, profiled, or reused. You get full access to its vision, tool use, and web search capabilities without surveillance, making it ideal for sensitive or enterprise-grade agent workflows where sovereignty matters. The model’s open weights and uncensored deployment on Venice enable permissionless, private AI.
Agent quickstart
The API is OpenAI-compatible: change the base URL and the model id and existing client code works unchanged.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "xiaomi-mimo-v2-6-flash",
"stream": true,
"messages": [{ "role": "user", "content": "Draft the release note." }]
}'curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "xiaomi-mimo-v2-6-flash",
"messages": [{ "role": "user", "content": "Find the rate limits." }],
"tools": [{
"type": "function",
"function": {
"name": "search_docs",
"description": "Search the API documentation.",
"parameters": {
"type": "object",
"properties": { "query": { "type": "string" } },
"required": ["query"]
}
}
}],
"tool_choice": "auto"
}'import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["VENICE_API_KEY"],
base_url="https://api.venice.ai/api/v1",
)
resp = client.chat.completions.create(
model="xiaomi-mimo-v2-6-flash",
messages=[{"role": "user", "content": "Build without permission."}],
)
print(resp.choices[0].message.content)Specifications
Assessment
Use cases
Prompting
Use clear role definitions and step-by-step directives to reduce verbosity in reasoning tasks.
Leverage web search by explicitly asking for up-to-date information or real-time data.
Include multiple images in a single prompt for comparative analysis or workflow context.
Use JSON schema in function calls to ensure structured, parseable outputs.
Cache repeated prompts — cached input is free on Venice, cutting recurring costs.
Break down complex tasks into smaller function calls to avoid long-horizon recovery issues.
Alternatives
| Model | Best for | Context | Open weights | Price (Venice) |
|---|---|---|---|---|
| MiMo-V2.6-Flash | Multimodal agents, cost efficiency | 1M tokens | Yes | $0.17 in · $0.35 out / 1M |
| DeepSeek V4.1 Flash | Code and reasoning | 1M tokens | Yes | $0.38 in · $1.50 out / 1M |
| Google Gemma 4 31B Instruct | Lightweight open model | 256K tokens | Yes | $0.12 in · $0.36 out / 1M |
| Claude Opus 5 | Complex reasoning | 1M tokens | No | $6 in · $30 out / 1M |
MiMo-V2.6-Flash is the best pick for open, multimodal agent workflows where cost, privacy, and full modality matter — outperforming rivals in price and openness while matching them in context and tooling.
Pricing
Billed per token on Venice: $0.17 per 1M input tokens and $0.35 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Getting a key
Create a key in API settings. Nothing else is required to start.
Export it as VENICE_API_KEY so the snippets above run unedited.
Point an existing OpenAI client at https://api.venice.ai/api/v1. The scheme is part of the value: an OpenAI client given a bare host does not resolve it.
Pass xiaomi-mimo-v2-6-flash as the model and send the request.
FAQ
MiMo-V2.6-Flash is Xiaomi's open-weight, multimodal reasoning model released in September 2026. It supports text, image, audio, and video input with a 1M-token context, and is optimized for cost-efficient, high-frequency use in professional and agent workflows.
On Venice, MiMo-V2.6-Flash costs $0.17 per million input tokens and $0.35 per million output tokens. Cached input is free, making it highly efficient for repeated queries.
It is not free to run, but it is open-weight under the MIT license — meaning the model weights are publicly available, can be self-hosted, and modified. You can use it freely on Venice with zero retention.
Yes. MiMo-V2.6-Flash natively supports image input, including multiple images per prompt, and can analyze visual content alongside text, audio, and video.
Yes. It supports full function calling, web search, and structured JSON output, making it ideal for building AI agents that interact with APIs and external tools.
MiMo-V2.6-Flash is far cheaper and open-weight, with full multimodal input. Claude Opus 5 has stronger deep reasoning but is 35× more expensive and closed. Choose MiMo for cost, openness, and media; Opus for maximum reasoning depth.
It supports a 1,000,000-token context window, allowing for extremely long conversations, large document analysis, and multi-session agent memory.
One key, free to start, no credit card.