MiMo-V2.5-Pro with Jev
MiMo-V2.5-Pro is a model from Xiaomi, released 2026-04-22. It costs $0.435 per million input tokens and $0.870 per million output tokens, reads up to 1.05M tokens of context, and writes up to 131,072 tokens in one reply. Through llm11, set model to xiaomi/mimo-v2.5-pro.
- Input price
- $0.435 / 1M
- Output price
- $0.870 / 1M
- Context window
- 1.05M tokens
- Max output
- 131K tokens
- Cached input
- $0.004 / 1M
- Released
- 2026-04-22
- Accepts
- text
- Intelligence index
- 26
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 57% of the 332 priced models we can call cost more.
Using MiMo-V2.5-Pro with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. MiMo-V2.5-Pro does the answering when Jev sends it work, or when you name it yourself. At list price MiMo-V2.5-Pro falls in the llm11-balanced band, but no pack routes to it because Xiaomi is not one of the labs the packs draw from. You can still pin it: pass xiaomi/mimo-v2.5-pro as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for MiMo-V2.5-Pro with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00039 | $0.392 |
| Question over retrieved documents | 4,000 / 500 | $0.00217 | $2.17 |
| Long document summary | 30,000 / 1,000 | $0.014 | $13.92 |
Cheaper models to try
Nearest in price and below MiMo-V2.5-Pro, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| DeepSeek DeepSeek V4.1 Flash | $0.300 | $1.20 | 1.05M | 39.5 | |
| OpenAI GPT-5.6 Luna | $0.200 | $1.20 | 1.05M | 37.3 | |
| OpenAI GPT-6 Luna | $0.100 | $0.500 | 1.05M | 37.3 | |
| DeepSeek DeepSeek V4 Flash 0423 | $0.076 | $0.153 | 1.05M | 24.2 |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="xiaomi/mimo-v2.5-pro",
messages=[{"role": "user", "content": "Hello"}],
)More from Xiaomi
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| MiMo-V2.6-Flash | $0.140 | $0.280 | 1.05M | |
| MiMo-V2.6-Pro | $0.435 | $0.870 | 1.05M | |
| MiMo-V2.6-Pro-UltraSpeed | $4.35 | $8.70 | 1.05M | |
| MiMo-V2.5 | $0.140 | $0.280 | 1.05M |
Questions
- What is MiMo-V2.5-Pro with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. MiMo-V2.5-Pro does the answering when Jev sends it work, or when you name it yourself. At list price MiMo-V2.5-Pro falls in the llm11-balanced band, but no pack routes to it because Xiaomi is not one of the labs the packs draw from. You can still pin it: pass xiaomi/mimo-v2.5-pro as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is MiMo-V2.5-Pro a System One model?
- No. MiMo-V2.5-Pro answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does MiMo-V2.5-Pro cost?
- $0.435 per million input tokens and $0.870 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00217, so a thousand of them is about $2.17. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the MiMo-V2.5-Pro context window?
- 1,050,000 tokens, with up to 131,072 tokens in a single reply.
- Does MiMo-V2.5-Pro support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use MiMo-V2.5-Pro through llm11?
- Yes. Set model to xiaomi/mimo-v2.5-pro on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to MiMo-V2.5-Pro?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price MiMo-V2.5-Pro falls in the llm11-balanced band, but no pack routes to it because Xiaomi is not one of the labs the packs draw from. You can still pin it: pass xiaomi/mimo-v2.5-pro as model and routing steps aside while verification still runs.
- What is a cheaper alternative to MiMo-V2.5-Pro?
- Nearest in price and below it: DeepSeek DeepSeek V4.1 Flash at $0.300 in and $1.20 out, OpenAI GPT-5.6 Luna at $0.200 in and $1.20 out and OpenAI GPT-6 Luna at $0.100 in and $0.500 out. Nearest in price and below MiMo-V2.5-Pro, each within a few points of it on the intelligence index.