---
title: "Two models added to Database AI Suite this week: GPT-5.1 and KIMI 2 Thinking."
slug: two-models-added-to-database-ai-suite-this-week-gpt-5-1-and-kimi-2-thinking
date_published: 2025-11-18T12:54:23.995Z
original_url: https://www.tigzig.com/post/two-models-added-to-database-ai-suite-this-week-gpt-5-1-and-kimi-2-thinking
source: migrated
processed_at: 2025-12-03T12:00:00.000Z
---

# Two models added to Database AI Suite this week: GPT-5.1 and KIMI 2 Thinking

KIMI 2 Thinking is close to Gemini 2.5 Flash in quality. Costs are higher and more volatile. GPT-5.1 is 20% cheaper than GPT-5 for database execution. Token bloat is down. Default reasoning set to none instead of medium.

## For advanced analysis planning (single API call, reasoning step)

* **Gemini 2.5 Flash**: strong quality, predictable costs
* **KIMI 2**: similar quality, costs are higher and more volatile
* **GPT-5.1**: high quality, high cost
* **Claude Sonnet 4.5**: highest quality, highest cost
* **GPT-5 / Gemini-2.5-Pro**: avoid on APIs - major token and cost bloat

## For database execution (where 80% of cost sits)

* **GPT-4.1-mini**: my current workhorse for simple to medium work, very cost effective
* **GPT-4.1**: complex queries, strong at debugging, 30% cheaper than GPT-5.1
* **GPT-4o-mini**: high volume work, half the cost of GPT-4.1-mini

GPT-5-mini still has token bloat. Default reasoning is medium. For regular work, GPT-4.1-mini is better. For more firepower ramp up stepwise → GPT-4.1 → GPT-5.1

## Planning vs execution costs

In multi-step advanced analysis workflow, for a single iteration, planner runs once. Execution agent runs 7 to 10 queries and debugs. Planning is 20% of cost. Execution is 80%.

## Avoid multi-step unless needed

Multi-step workflows multiply costs fast. Single step: approx. $0.40 per 100 questions with a GPT-4.1-mini. Advanced analysis: approx. $15 per 100 questions depending on LLM. Use multi-step multi-agent workflows only when needed.

## DATS-4 (Database AI Suite v4)

Database AI app. Connects to Postgres or MySQL. Two workflows: simple text-to-sql and advanced multi-step analysis. Supports python charts, table upload, export, PDF reports.

### Try it

Sample button uploads test data to temporary Postgres instance. Use sample prompts. Or upload your files to a temp DB / connect to your DB.

### Note

Public app routes through my backend. Sandbox testing only. For production, deploy on your servers.