
Xiaomi: MiMo-V2.6-Flash
1 provider live- 1 live provider
- 97.3% uptime
- 8.89 s first token
- 13 tok/s output
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.
- Context
- 1M
- tokens
- Max output
- 943.7K
- tokens
- Input
- $0.14
- per million tokens
- Output
- $0.28
- per million tokens
Providers
Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.| # | Provider | Input | Output | Cache read | Latency | Throughput | Uptime (3d) |
|---|---|---|---|---|---|---|---|
| 1 | Data policy not declared | $0.14 | $0.28 | $0.0028 | 8.89 s | 13 tok/s | 97.3% |
Price history
No price changes since Oct 20, 2026.
- DeepInfra$0.14 in, $0.28 out
Performance
Last 24 hours, from llm.buzz's test requestsThroughput (tok/s)
- DeepInfra13 tok/s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| DeepInfra | Oct 26, 07:00 | 11 tok/s | 11 tok/s | 11 tok/s |
| DeepInfra | Oct 26, 12:00 | 13 tok/s | 13 tok/s | 13 tok/s |
| DeepInfra | Oct 26, 17:00 | 11 tok/s | 11 tok/s | 11 tok/s |
| DeepInfra | Oct 26, 22:00 | 15 tok/s | 15 tok/s | 15 tok/s |
| DeepInfra | Oct 27, 03:00 | 37 tok/s | 37 tok/s | 37 tok/s |
| DeepInfra | Last 24 hours | 13 tok/s | 11 tok/s | 11 tok/s |
Latency (time to first token)
- DeepInfra8.89 s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| DeepInfra | Oct 26, 07:00 | 8.89 s | 8.89 s | 8.89 s |
| DeepInfra | Oct 26, 12:00 | 22.1 s | 22.1 s | 22.1 s |
| DeepInfra | Oct 26, 17:00 | 38.2 s | 38.2 s | 38.2 s |
| DeepInfra | Oct 26, 22:00 | 1.72 s | 1.72 s | 1.72 s |
| DeepInfra | Oct 27, 03:00 | 0.83 s | 0.83 s | 0.83 s |
| DeepInfra | Last 24 hours | 8.89 s | 38.2 s | 38.2 s |
Uptime
Last 72 hours, by hour- Up: 95% or more served
- Degraded: 85% to 95%
- Down: below 85%
- No data
- From llm.buzz's test requests
Questions
How much does Xiaomi: MiMo-V2.6-Flash cost?
Xiaomi: MiMo-V2.6-Flash costs $0.14 per million input tokens and $0.28 per million output tokens at DeepInfra, the provider requests go to first, with cache reads at $0.0028 per million tokens.
Do providers train on my prompts?
Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.
Can I serve Xiaomi: MiMo-V2.6-Flash myself?
Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.
Similar models
Call it
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llm.buzz/api/v1",
api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
model="xiaomi/mimo-v2.6-flash",
messages=[{"role": "user", "content": "Hello"}],
)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llm.buzz/api/v1",
apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
model: "xiaomi/mimo-v2.6-flash",
messages: [{ role: "user", content: "Hello" }],
});curl https://api.llm.buzz/api/v1/chat/completions \
-H "Authorization: Bearer $LLM_BUZZ_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "xiaomi/mimo-v2.6-flash",
"messages": [{"role": "user", "content": "Hello"}]}'Endpoints
POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messagesAuthentication
Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.
More in Authentication and the API reference.
README
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.
- Model ID
- xiaomi/mimo-v2.6-flash
- Takes
- Text, image
- Answers
- Text
- Context
- 1M tokens
- Max output
- 943.7K tokens
- Capabilities
- Tools, Caching, Structured outputs
- Parameters
- max_tokens, response_format, structured_outputs, temperature, tool_choice, tools
- Weights
- Open weights
- On llm.buzz since
- Oct 20, 2026