Minimax 2.5 is MUCH better and I can PROVE it

MiniMax 2.5 is a real step up for agent workflows — the simple car-wash logic test exposes the gap.

## The car-wash test The prompt: *"I need to wash my car at the car wash. Should I walk or should I drive over?"* The correct answer is drive, because the car must be at the wash. MiniMax 2.5 answered "you need your car at the car wash" — correct. MiniMax 2.1 replied that 50 meters is "just such a short distance" and recommended walking to "save up on the gas" — wrong. Kimi K2.1 also answered drive correctly; DeepSeek answered walk.

## The Opus comparison Opus also passed the test with "flying colors," but the creator frames it as overkill: 1M output tokens cost $1.20 on MiniMax 2.5 versus $75 on Opus. He notes OpenClaw adds an extra ~$5/day in agent "heartbeat" pings on Opus, on top of token charges.

## Coding plan economics The $20 MiniMax coding plan gives 300 prompts every 5 hours, which the creator calls "essentially unlimited agent use" for general coding and small tools. His setup: an Opus agent named "Stark" handles big builds and delegates small tools to MiniMax 2.5 automatically. The presentation slide showing this was itself generated by MiniMax 2.5 via a multi-agent workflow in Discord.

## Caveats MiniMax 2.5 is not perfectly reliable — it gave the wrong "walk" answer on "one or two" out of several runs. The creator still recommends it over local models like Llama, because "most local models fail" at simple planning tasks.

## Numbers worth knowing MiniMax 2.5 outputs at 50 TPS, reported as 30% faster than the prior version. The release date referenced is 2021 in the agent-generated slide, which the creator flags as a hallucination risk to watch for.