How much does the MiMo-V2.6-Pro API cost?

On FastMetal, MiMo-V2.6-Pro is billed per token: $0.459 per 1M input tokens and $0.9179 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.

Can I call MiMo-V2.6-Pro with the OpenAI SDK?

Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "mimo-v2.6-pro" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.

What is the context window of MiMo-V2.6-Pro?

1,048,576 tokens, shared between the prompt and the response.

What do I need to try MiMo-V2.6-Pro?

Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Back to Models

Xiaomi

mimo-v2.6-pro

MiMo-V2.6-Pro

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...

9/21/2026

1,048,576 tokens

Input: $0.459/M

Output: $0.9179/M

Try in Chat Get API Key

Specifications

Modalities

Input

text

image

video

audio

Output

text

Supported Parameters

frequency_penalty

include_reasoning

logit_bias

max_tokens

min_p

presence_penalty

reasoning

repetition_penalty

response_format

seed

stop

structured_outputs

temperature

tool_choice

tools

top_k

top_p

Max Output Tokens

131,072

Data policy

Prompt retention: Unknown: we could not confirm
Training: Not used for training

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Measured performance

Time to first response (p50)856ms

Throughput (p50)126 tokens/s

Measured through FastMetal's own gateway over the last 30 days (661 first-response samples).

Throughput is sampled once a day: the median of 28 observations over the last 30 days.

Time to first response is measured to the first streamed chunk; throughput counts all output tokens, including reasoning tokens. These are observations, not a performance guarantee.

Code Examples

curl https://api.fastmetal.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "mimo-v2.6-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How MiMo-V2.6-Pro actually answers

Real responses to our standard prompts, recorded on FastMetal.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

# Counting the 'r's in "strawberry" ## Step 1: Spell out the word letter by letter | Position | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |----------|---|---|---|---|---|---|---|---|---|----| | Letter | s | t | r | a | w | b | e | r | r | y | ## Step 2: Identify every 'r' - **Position 3** → **r** ✅ (1st 'r') - **Position 8** → **r** ✅ (2nd 'r') - **Position 9** → **r** ✅ (3rd 'r') All other letters (s, t, a, w, b, e, y) are not 'r'. ## Answer There are **3** 'r's in "strawberry."

22.0s response327 output tokens

Debug This Error

I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

# Fixing `Cannot read properties of undefined (reading 'map')` ## The Problem The `users` prop is `undefined` when the component renders. This happens because `.map()` is being called on something that doesn't exist — JavaScript can't iterate over `undefined`. This typically occurs when: - The parent component doesn't pass the `users` prop at all - The data is still loading (e.g., from an API call) - A destructuring default doesn't exist ## The Fix ### Option 1: Provide a default value (simplest) ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ### Option 2: Add a safety check with conditi…

32.9s response575 output tokens

Code Review

Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

# Code Review: `get_data` Function ## Issues Identified Here's my review organized by category, with a final improved version at the end. --- ### 🔴 Best Practices 1. **Imports inside the function** — `import requests` and `import time` are executed on *every* call. Move them to the top of the file (module-level). 2. **Bare `except:`** — This catches *everything*, including `KeyboardInterrupt` and `SystemExit`. Always catch specific exceptions. 3. **`== True` comparison** — Verbose and unnecessary. Use the object's truthiness directly. 4. **No logging** — Silent failures make debugging nearly impossible. 5. **Magic numbers** — `timeout=10` and `time.sleep(2)` are unexplained constan…

42.5s response983 output tokens

Compare these answers side by side with other models →

Frequently asked questions

How much does the MiMo-V2.6-Pro API cost?: On FastMetal, MiMo-V2.6-Pro is billed per token: $0.459 per 1M input tokens and $0.9179 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
Can I call MiMo-V2.6-Pro with the OpenAI SDK?: Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "mimo-v2.6-pro" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
What is the context window of MiMo-V2.6-Pro?: 1,048,576 tokens, shared between the prompt and the response.
What do I need to try MiMo-V2.6-Pro?: Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.