mimo-v2.5-proXiaomi
- endpoints
- 3
- regions
- 1
- api
- chat
- released
- April 2026
capabilities 4/8
The same weights cost 2.3x more on deepinfra inc. than on xiaomi. That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Global | 1.0M | $0.43 | $0.87 | $0.0036 | no-train | |
| 2 | Global | 1.0M | $0.80 | $2.40 | $0.16 | zdr | |
| 3 | Global | 1.0M | $1.00 | $3.00 | $0.20 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| τ²-Bench | 94.2 | |
| GPQA Diamond | 86.6 | |
| Coding Index | 60.2 | |
| SciCode | 50.6 | |
| Terminal-Bench Hard | 43.2 | |
| Humanity's Last Exam | 35.7 | |
| Intelligence Index | 26.4 | |
| 7 evals | mean | 56.7 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-04-22.
mimo-v2.5-prorequesty routes this id across every provider serving mimo-v2.5-pro, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
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="mimo-v2.5-pro", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
MiMo-V2.5-Pro is an open-source Mixture-of-Experts (MoE) language model with 1.02T total parameters and 42B active parameters. It utilizes the hybrid attention architecture and 3-layers Multi-Token Prediction (MTP) introduced in [MiMo-V2-Flash](https://github.com/XiaomiMiMo/MiMo-V2-Flash).
questions 6
Which providers serve mimo-v2.5-pro?
How much does mimo-v2.5-pro cost?
Is mimo-v2.5-pro open weights?
What is the context window of mimo-v2.5-pro?
How do I use mimo-v2.5-pro with the OpenAI SDK?
Should I call mimo-v2.5-pro by its managed id or a provider id?
more from xiaomi 1
| model | context | from /M | providers |
|---|---|---|---|
| mimo-v2.5 | 1.0M | $0.14 | 2 |
route mimo-v2.5-pro through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology
