ModelsModels / Xiaomi
MiMo-V2.6-Flash
Gets 90 of every 100 tool calls right on the public test. Best at calling a single tool, weaker at making several calls at once.
MiMo-V2.6-Flash is made by Xiaomi. It takes text, images, audio and video, with a context window of 1M tokens. On Tīrtha it takes text.
Start using MiMo-V2.6-Flash in 3 steps
Read the docs- Get an API keyFree to create. It works for every model in the catalogue.Get an API key
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- Point your client at TīrthaAny OpenAI-compatible client works. Use your key and this base URL, and name the model.base_url: "https://api.tirtha.ai/v1" api_key: "YOUR_TIRTHA_KEY" model: "catalog/mimo-v2.6-flash"
Price
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At a glance
Tested on Tīrtha Bench
Tool calling (public BFCL v4 test)
Overall: 90.2%*. Picks the right tool and fills in the inputs correctly on 90 of every 100 tasks.
One tool 94% · Picking the right tool 91% · Several calls at once 83%
A task counts as right only if the model calls the right tool with the right inputs. 800 tasks. Run on Oct 29, 2026. *Measured by Spanda Works on third-party hosts, not through Tīrtha. Results through Tīrtha may differ.
Handled several calls at once in our tests.
See MiMo-V2.6-Flash beside every other model on Tīrtha Bench →
What it supports
- Tool callingYesAlso measured on Tīrtha Bench
- Text inYes
- Image inYesText only on Tīrtha for now.
- ReasoningYesThinks before it answers
- StreamingYes
- Sampling settingsFixed todayThe maker publishes no default. Tīrtha fixes temperature at 0 today.
From the maker
- Model card: XiaomiMiMo/MiMo-V2.6-Flash on Hugging Face (sign-in may be required)
Facts here are read from the maker's published card; claims and benchmarks on that card are the maker's own, not measured by Tīrtha.
Licence
Weights: MIT.