Speed
Output tokens / second
Custom pricing for production workloads
MiMo-V2.5, a native omnimodal model by Xiaomi for text, image, audio, and video understanding. It delivers strong agentic performance at lower cost, making it suitable for general-purpose AI applications.
MiMo-V2.5 is Xiaomi's native omnimodal AI, trained from scratch to understand text, images, audio, and video together.
xiaomi/mimo-v2.5https://api.aimlapi.com/v1Released on April 22, 2026 by Xiaomi's AI team, MiMo-V2.5 picks up where MiMo-V2-Omni left off, with substantially better agentic performance, sharper visual reasoning, and native support for a 1 million token context window. It's designed for production, not benchmarks alone.
The model sits at the base of the V2.5 family. For teams that need the absolute ceiling on agentic tasks and software engineering, there's MiMo-V2.5-Pro. For general-purpose multimodal work at an honest price, MiMo-V2.5 is the practical starting point.
Not a text model with adapters, all four modalities trained jointly from day one, so cross-modal reasoning is genuinely coherent.
The newer multimodal model beats the previous text-only flagship on general agentic benchmarks, at half the token cost.
No more chunking. Process entire research papers, long video transcripts, or sprawling codebases without losing coherence.
Works natively with Claude Code, OpenCode, Kilo, and other popular scaffolds. Drop it in without rewiring your stack.
Strong multimodal results with significantly fewer tokens than closed-source competitors, which keeps production costs predictable.
MiMo-V2.5 is documented as suited to visual reasoning, including precise perception and complex chart analysis. It is also described as suited to deep multimodal understanding across text, image, video, and audio.
It is documented for general agent scenarios, with native agent execution across browsing, comprehension, reasoning, and operation. Xiaomi also describes it as supporting long-range tasks such as long video tracking, lengthy document analysis, and extended temporal reasoning.
It is additionally presented as useful for everyday task performance in agent workflows. The model is also described as a native full-modal model for understanding and translating understanding into action.
See how MiMo-V2.5 compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 11 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.1481 | 1M tokens |
| Output | $0.2962 | 1M tokens |
| Cached input | $0.003 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.1481 | $0.2962 | |
| $0.1481 | $0.2962 | |
| $0.4602 | $0.9205 | |
| $0.4602 | $0.9205 | |
| $4.6 | $9.2 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "xiaomi/mimo-v2.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "xiaomi/mimo-v2.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "xiaomi/mimo-v2.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());MiMo-V2.5 has a 1,000,000 tokens context window and can return up to 128,000 tokens.
MiMo-V2.5 takes image, text as input and returns text.
Use xiaomi/mimo-v2.5 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
MiMo-V2.5 became available on April 23, 2026.
MiMo-V2.5 costs $0.1481 input and $0.2962 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, MiMo-V2.5 can stream responses as they are generated.
Yes, MiMo-V2.5 accepts image input alongside text.
MiMo-V2.5 was built by Xiaomi.