Xiaomi MiMo-V2-Pro
Xiaomi positions MiMo-V2-Pro as a global top-tier agent model. In practice, it gives free users a genuinely large-context partner option for long-horizon coding, planning, and agent loops.
SourceThis launch is about more than adding model IDs. We re-cut the lineup around what users actually do: long-context coding, screenshot-heavy debugging, multimodal planning, and agent loops that keep running after the first response.
MiMo V2 Pro, GLM-5V Turbo, and Gemma 4 31B IT now ship as free partner models.
GPT-5.4, GLM-5, and MiniMax M2.7 now anchor the paid frontier tier.
Both GPT-5.4 and MiMo V2 Pro push the active catalog into million-token territory.
Xiaomi positions MiMo-V2-Pro as a global top-tier agent model. In practice, it gives free users a genuinely large-context partner option for long-horizon coding, planning, and agent loops.
SourceGLM-5V-Turbo is the free multimodal agent pick. It is built for image, video, and text inputs, which matters when workflows start from screenshots, UI bugs, diagrams, and documents instead of plain prompts.
SourceGemma 4 31B IT brings dense multimodal reasoning, native function calling, and strong document understanding into the free tier. It is the pragmatic open-weight choice for structured work.
SourceGPT-5.4 is now the flagship premium OpenAI slot in LeemerChat. OpenAI explicitly recommends it for complex reasoning and coding, and the 1M-token window changes what counts as a single-session problem.
SourceGLM-5 replaces the older GLM-4.7 line across our active configs. The point is not just a newer name: it is the stronger frontier alternative for coding, agent planning, and synthesis-heavy work.
SourceMiniMax positions M2.7 as its next-generation productivity model. For us, it becomes the single MiniMax recommendation for coding, productivity, and tool-oriented execution instead of a split M2.1 versus M2.5 story.
SourceThe biggest change is economic, not cosmetic. Free users now get serious frontier-grade options instead of fallback models that only make sense for lightweight chat.
We removed overlapping GPT-5 chat variants, retired the GLM-4.7 split, and collapsed MiniMax into one active premium recommendation. Fewer tiers, less selector noise, clearer picks.
These additions are here because they are good at execution loops: repo reading, long planning arcs, multimodal debugging, and document-grounded reasoning.
We start from a base price of $1 and localize the display with a live USD conversion. If you are in Ireland, you will see euro. If you are in India, you will see rupees.
Exchange rate data via ExchangeRate-API. Offer display adapts at runtime based on detected location.
This post is based on provider docs, model cards, and public model pages. Where a provider’s public page makes a high-level positioning claim rather than exposing a full benchmark sheet, we phrase that cautiously in the copy above.
GLM-5 launches on LeemerChat with major upgrades in scale, training data, and RL infrastructure. Built for long-horizon agentic systems, coding reliability, and complex reasoning under production constraints.
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