XiaomiMiMo/MiMo-V2.5DeepInfra Inc.
- api
- chat
- hosting
- US
- model lab
- Xiaomi
- weights
- open
- added
- April 2026
- model id
- deepinfra/XiaomiMiMo/MiMo-V2.5
capabilities 5/8
2 providers serve mimo-v2.5. This page is one of them. Compare all endpoints
- input
- $0.40
- output
- $2.00
- cache write
- -
- cache read
- $0.08
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0600 |
| 1M in + 100K out | $0.60 |
| 10M in + 1M out | $6.00 |
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
- 787ms
- median tok/s
- 71.0
- blended /1M
- $0.55
- cache hit
- 48.9%
- answered
- 98.90%
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
- none
- trains on prompts
- no
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. DeepInfra Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
deepinfra/XiaomiMiMo/MiMo-V2.5this id pins the deepinfra inc. 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="deepinfra/XiaomiMiMo/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
MiMo-V2.5 is a native omnimodal model with strong agentic capabilities, supporting text, image, video, and audio understanding within a unified architecture. Built upon the MiMo-V2-Flash backbone and extended with dedicated vision and audio encoders, it delivers robust performance across multimodal perception, long-context reasoning, and agentic workflows.
questions 5
How much does XiaomiMiMo/MiMo-V2.5 cost?
What is the context window of XiaomiMiMo/MiMo-V2.5?
What can XiaomiMiMo/MiMo-V2.5 do?
How do I use XiaomiMiMo/MiMo-V2.5 with the OpenAI SDK?
Can I run XiaomiMiMo/MiMo-V2.5 through Requesty?
more from deepinfra inc. 8
| endpoint | ctx | in /M |
|---|---|---|
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| glm-5.3 | 1.0M | $1.20 |
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| deepseek-v4-flash-0731:flex | 1.0M | $0.07 |
| glm-5.2:flex | 1M | $0.60 |
| glm-5.2 | 262K | $0.75 |
call xiaomimimo/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