Xiaomi's open-weights omnimodal model, a 309B-total, 15B-active mixture-of-experts. It is the small sibling of MiMo V2.6 Pro and replaces MiMo V2.5, adding audio and video input on a 1M window.
Pick it if
you want the cheapest 1M-window model with image, video and audio input
you run high-volume agent or coding loops where cached prefixes dominate the bill
you want MIT-licensed weights you can self-host
Skip it if
you need the strongest MiMo results on security and exploit benchmarks; Pro scores higher there
The first natively multimodal model in Zhipu AI's GLM-5 series, an open-weights 320B-total, 18B-active sibling of GLM-5.3. It costs about a ninth of GLM-5.3's per-token rate and, unlike GLM-5.3, accepts image and video input.
Pick it if
you want GLM-5.3-family text at roughly a ninth of the price
you need image or video input in the GLM line
you want MIT-licensed weights you can self-host
Skip it if
you need replies without thinking; Z.ai says thinking cannot be disabled
FAQ
Which is better, MiMo V2.6 Flash or GLM-5.3 Flash?
On DeepSWE v1.1, as each maker reports it, MiMo V2.6 Flash scores 67.9 and GLM-5.3 Flash 63.4. These are each maker's own numbers, not a controlled head-to-head; the spec table lists every benchmark both publish.
Which is cheaper, MiMo V2.6 Flash or GLM-5.3 Flash?
MiMo V2.6 Flash lists lower input and output prices. On a coding-agent session (2M tokens in, 60,000 out) MiMo V2.6 Flash costs $0.30 and GLM-5.3 Flash $0.33.
Can I switch between MiMo V2.6 Flash and GLM-5.3 Flash mid-task?
Yes. In an Octomind session, /model octohub:mimo-v2.6-flash and /model octohub:glm-5.3-flash switch models without losing the conversation, so you can draft on one and review on the other.
Try either model
Switch between models inside the same Octomind session.