Moduck

Xiaomi: MiMo-V2.5

Open MiMo model for multimodal coding agents and long-context automation

Model lab
Xiaomi
Model family
mimo

Model resources

Modalitiestext, image, audio, video → text
Context window1,048,576
Maximum output131,072
InputUSD 0.112 / 1M tokens
OutputUSD 0.224 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/xiaomi/mimo-v2-5.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/xiaomi/mimo-v2-5"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

MiMo-V2.5 API Pricing

TypePrice information
InputUSD 0.112 / 1M tokens
OutputUSD 0.224 / 1M tokens
Cached inputUSD 0.00224 / 1M tokens

Benchmarks

BenchmarkScoreMeasurementSource
MiMo Coding Bench71.8score
Claw-Eval62.3score · Variant: text
Terminal-Bench65.8score · Version: 2.0
SWE-Bench Pro56.1score
CharXiv Reasoning81score
MMMU-Pro77.9score
HR-Bench88.5score · Variant: 4K
OmniDocBench87.2score
Claw-Eval23.8score · Variant: multimodal
Video-MME87.7score
DailyOmni83.5score
VideoHolmes64score

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput90.9 tok/sCurrent
Time to first token1.3 sCurrent
End-to-end latency7.8 sCurrent
Throughput
Current90.9 tok/s
Window average90.2 tok/s
Time to first token
Current1.3 s
Window average1.5 s
End-to-end latency
Current7.8 s
Window average7.5 s
Tail latency (P99)
Current15.9 s
Window average16.6 s
Prompt cache hit rate
Current19.1%
Window average22.5%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

MiMo-V2.5 Compare models

ModelInput priceOutput priceContext windowCapabilities
MiMo-V2.5This pageUSD 0.112 / 1M tokensUSD 0.224 / 1M tokens1,048,576Text output · Reasoning · Tool calling
MiMo-V2.6-FlashUSD 0.08 / 1M tokensUSD 0.2 / 1M tokens1,048,576Text output · Reasoning · Tool calling
MiMo-V2.6-ProUSD 0.32 / 1M tokensUSD 0.64 / 1M tokens1,048,576Text output · Reasoning · Tool calling
MiMo-V2.6-Pro-UltraSpeedUSD 3.48 / 1M tokensUSD 6.96 / 1M tokens1,048,576Text output · Reasoning · Tool calling
MiMo-V2.5-ProUSD 0.16 / 1M tokens · Base context tier (boundary 256000 tokens)USD 0.48 / 1M tokens · Base context tier (boundary 256000 tokens)1,048,576Text output · Reasoning · Tool calling

Model specifications

Input
text, image, audio, video
Output
text
Context window
1,048,576
Maximum output
131,072
Release date
2026-04-22
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is MiMo-V2.5 for?

Open MiMo model for multimodal coding agents and long-context automation

What inputs and outputs does MiMo-V2.5 support?

Recorded inputs: text, images, audio, video; outputs: text.

How is MiMo-V2.5 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.112 / 1M tokens; Output USD 0.224 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for MiMo-V2.5?

Current model records list Context window 1,048,576 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses moduck/xiaomi/mimo-v2-5. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.