MiMo-V2.5 with Jev
MiMo-V2.5 is a model from Xiaomi, released 2026-04-22. It costs $0.140 per million input tokens and $0.280 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.
- Input price
- $0.140 / 1M
- Output price
- $0.280 / 1M
- Context window
- 1.05M tokens
- Max output
- 131K tokens
- Cached input
- $0.003 / 1M
- Released
- 2026-04-22
- Accepts
- text, audio, image, video
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 79% of the 332 priced models we can call cost more.
Using MiMo-V2.5 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 does the answering when Jev sends it work, or when you name it yourself. At list price MiMo-V2.5 falls in the llm11-fast 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 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for MiMo-V2.5 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 | $0.00013 | $0.126 |
| Question over retrieved documents | 4,000 / 500 | $0.00070 | $0.700 |
| Long document summary | 30,000 / 1,000 | $0.00448 | $4.48 |
Cheaper models to try
The catalogue has no benchmark score for MiMo-V2.5, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Google Gemini 2.5 Flash LiteRetires 2026-10-20 | $0.100 | $0.400 | 1.05M | |
| OpenAI GPT-4.1 Nano | $0.100 | $0.400 | 1.05M | |
| Google Gemma 3 27B | $0.080 | $0.450 | 131K | |
| Meta Llama 3.3 70B Instruct | $0.100 | $0.320 | 131K |
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",
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-Pro | $0.435 | $0.870 | 1.05M |
Questions
- What is MiMo-V2.5 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 does the answering when Jev sends it work, or when you name it yourself. At list price MiMo-V2.5 falls in the llm11-fast 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 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 a System One model?
- No. MiMo-V2.5 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 cost?
- $0.140 per million input tokens and $0.280 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00070, so a thousand of them is about $0.700. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the MiMo-V2.5 context window?
- 1,050,000 tokens, with up to 131,072 tokens in a single reply.
- Does MiMo-V2.5 support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use MiMo-V2.5 through llm11?
- Yes. Set model to xiaomi/mimo-v2.5 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to MiMo-V2.5?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price MiMo-V2.5 falls in the llm11-fast 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 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to MiMo-V2.5?
- Nearest in price and below it: Google Gemini 2.5 Flash Lite at $0.100 in and $0.400 out, OpenAI GPT-4.1 Nano at $0.100 in and $0.400 out and Google Gemma 3 27B at $0.080 in and $0.450 out. The catalogue has no benchmark score for MiMo-V2.5, so this is a price ordering. It does not claim these answer as well.