AskTable Adds Kimi K2.5, MiniMax M2.5, and GLM-5

Dense release season—AskTable keeps pace

Moonshot shipped Kimi K2.5, MiniMax shipped M2.5, and Zhipu shipped GLM-5—all competitive on reasoning, coding, and multimodal tasks.

AskTable integrates all three, so you can optimize for quality, cost, or compliance per project.

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Model notes (high level)

Kimi K2.5 — Moonshot

• •Large multimodal stack with strong vision/video angles
• •Agent swarm-style parallelism for long workflows
• •Good fit when analysis chains many steps or modalities

MiniMax M2.5

• •Coding- and agent-centric tuning
• •Often positioned as a cost-efficient workhorse vs top-tier closed APIs
• •Fits high-frequency Q&A and automation

GLM-5 — Zhipu

• •MIT-licensed weights—rare among domestic flagship models
• •Emphasis on factual reliability and balanced skills
• •Attractive when you need open weights and on-prem flexibility

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How to choose inside AskTable

All models run the same AskTable stack: connectors, semantic layer, agents, and deployment modes.

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Enable in settings

1. •Open AskTable
2. •Settings → Model groups
3. •Pick Kimi K2.5, MiniMax M2.5, or GLM-5
4. •Start asking—intent, SQL/Python/JS, and agents use the selected model end-to-end

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Closing

Domestic models are closing the gap with global leaders on many benchmarks. AskTable stays model-agnostic so your team can adopt the best engine as releases land—without replatforming analytics.

Further reading: vendor blogs, TechCrunch / The Decoder coverage, and benchmark leaderboards—verify claims on your data and prompts.