mimo-v2.5Xiaomi
- api
- chat
- hosting
- China
- model lab
- Xiaomi
- weights
- open
- added
- April 2026
- model id
- xiaomi/mimo-v2.5
capabilities 4/8
2 providers serve mimo-v2.5. This page is one of them. Compare all endpoints
- input
- $0.14
- output
- $0.28
- cache write
- -
- cache read
- $0.0028
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0168 |
| 1M in + 100K out | $0.17 |
| 10M in + 1M out | $1.68 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
- median ttft
- 1.84s
- median tok/s
- 77.0
- blended /1M
- $0.01
- cache hit
- 94.7%
- answered
- 97.60%
Weekly aggregates from production traffic routed through Requesty to this endpoint. A metric with no qualifying sample is left out rather than filled in. Compare against the other providers
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- yes
- trains on prompts
- no
- hosted in
- China
Terms are the provider's, not Requesty's: routing a request here puts it under them. Xiaomi Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
xiaomi/mimo-v2.5this id pins the xiaomi deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="xiaomi/mimo-v2.5", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
Xiaomi MiMo v2.5. Native omni-modal model: text, image, video, and audio input, text output. 1M context window for multimodal agent scenarios. OpenAI-compatible.
questions 5
How much does mimo-v2.5 cost?
What is the context window of mimo-v2.5?
What can mimo-v2.5 do?
How do I use mimo-v2.5 with the OpenAI SDK?
Can I run mimo-v2.5 through Requesty?
more from xiaomi 1
| endpoint | ctx | in /M |
|---|---|---|
| mimo-v2.5-pro | 1.0M | $0.43 |
call mimo-v2.5 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology