---
title: "Best MiniMax Models for OpenClaw (2026): M2.5 vs Lightning vs M2.1"
description: "MiniMax has five models live in the API. Most OpenClaw users only need one. M2.5 for cheap coding, M2.5 Lightning for speed, M2.1 for budget. Here's how to pick."
date: 2026-04-12
updatedDate: 2026-09-08
location: San Francisco, CA – Apr 12th, 2026
image: /images/best-minimax-models-for-openclaw-hero.jpg
keywords: "openclaw minimax, best minimax model for openclaw, minimax openclaw, minimax m2.5 openclaw, minimax m2.5 lightning openclaw, minimax m2.1 openclaw, minimax api pricing"
faq:
  - question: "What is the best MiniMax model for OpenClaw?"
    answer: "MiniMax M2.5 is the best default for most users. It costs $0.12/M input and $1/M output, cheaper than almost any other model in the OpenClaw-compatible lineup, and handles tool calling and daily coding well. For speed-critical workflows, M2.5 Lightning at $0.30/$2.40 is faster with a 1M context window. For strict budget, M2.1 at $0.27/$0.95 is still a solid pick."
  - question: "How much does it cost to use MiniMax with OpenClaw?"
    answer: "MiniMax models range from $0.12/M input (M2.5) to $0.30/M input (M2.5 Lightning). Output costs range from $0.95/M (M2.1) to $2.40/M (Lightning variants). That puts the entire lineup 5–20x cheaper than comparable flagship models from Anthropic or OpenAI."
  - question: "How do I set up MiniMax in OpenClaw?"
    answer: "The easiest path is through haimaker.ai, which includes MiniMax alongside Claude, GPT, and Gemini through one API key. Add haimaker as a provider in ~/.openclaw/openclaw.json and allowlist the MiniMax models you want. Direct access via MiniMax's own API is also supported."
---

MiniMax is the cheapest way to run a capable model in OpenClaw right now. As of April 2026, there are five MiniMax models worth considering, and most people are trying to figure out which one is worth the setup effort.

Short version: start with M2.5, swap to Lightning if speed matters, ignore the rest.

## The quick answer

| Model | Input/Output Cost | Context | Best For |
|---|---|---|---|
| **MiniMax M2.5** | $0.12 / $1.00 | 196K | Default — cheap, capable |
| **MiniMax M2.5 Lightning** | $0.30 / $2.40 | 1M | Speed + long context |
| **MiniMax M2.1** | $0.27 / $0.95 | 196K | Budget alternative |
| **MiniMax M2.1 Lightning** | $0.30 / $2.40 | 1M | Legacy — use 2.5 Lightning |
| **MiniMax M2** | $0.30 / $1.20 | 200K | Legacy — use 2.5 |

**Start with M2.5.** Reach for M2.5 Lightning when you need speed or a 1M context window. Skip the older versions.

## MiniMax M2.5 — the default pick

At $0.12/M input and $1/M output, M2.5 is in a different cost tier than almost every other model that works well with OpenClaw. For comparison, Claude Sonnet 4.6 costs $3/$15. That's about 25x more on input and 15x more on output. MiniMax M2.5 won't match Sonnet on the hardest reasoning tasks, but it gets surprisingly close on day-to-day coding.

The 196K context window is enough for most real work. Function calling is reliable. Reasoning is supported and actually helps on multi-step tasks. The model is particularly good at staying coherent across long conversations, which matters when you're using OpenClaw interactively over an hour.

Where it falls short: novel algorithms, hard debugging where the model needs to form and test hypotheses, and tasks that require the absolute latest world knowledge. For everything else (refactoring, file edits, documentation, code explanation, tool-heavy workflows), it's the cheapest way to get real work done.

I've been routing 70–80% of my OpenClaw traffic to M2.5 and only escalating to Sonnet 4.6 or GPT-5.4 when the cheaper model gets stuck. The monthly savings are significant.

## MiniMax M2.5 Lightning — when speed matters

$0.30/M input, $2.40/M output, **1M token context**. Lightning is the faster variant: higher throughput, lower latency, and 5x the context window of regular M2.5.

You pay for it. Output tokens cost 2.4x more than regular M2.5, which adds up on code-generation tasks. But if you're loading huge contexts (whole monorepos, long documents, giant log files) or running interactive workflows where latency is visible, the upgrade is worth it.

The trade-off vs. regular M2.5 is mostly economic: Lightning costs more but handles the 800K–1M token range that M2.5 can't. If your inputs fit in 196K, stay on M2.5. If they don't, Lightning is the call.

## MiniMax M2.1 — the budget backup

$0.27/M input, $0.95/M output, 196K context. M2.1 predates the 2.5 release and is slightly cheaper on output tokens but a bit behind on quality. Not by a lot, but enough that I'd rather pay the few extra cents for M2.5.

The one case for M2.1 is high-volume batch work where output tokens dominate the bill and quality is "good enough." If you're summarizing thousands of documents or generating commit messages at scale, M2.1 can save real money. For coding with OpenClaw, go with M2.5.

## Legacy models to skip

- **MiniMax M2** ($0.30/$1.20): Replaced by M2.5 at a lower price with better quality. No reason to use it.
- **MiniMax M2.1 Lightning** ($0.30/$2.40): Same price as M2.5 Lightning but older. Always prefer the newer version.

## Setup in OpenClaw

The fastest path to MiniMax in OpenClaw is through haimaker.ai. MiniMax models are available alongside Claude, GPT, Gemini, Grok, and open-source models through a single API key.

#### 1. Get your haimaker.ai API key

Sign up at [haimaker.ai](https://haimaker.ai) and copy your key from the dashboard. New accounts come with credits to test things out.

#### 2. Add haimaker as a provider

Open `~/.openclaw/openclaw.json` and add:

```json
{
  "models": {
    "providers": {
      "haimaker": {
        "baseUrl": "https://api.haimaker.ai/v1",
        "apiKey": "your-haimaker-api-key",
        "api": "openai-completions"
      }
    }
  }
}
```

#### 3. Add MiniMax models to the allowlist

```json
{
  "agents": {
    "defaults": {
      "models": {
        "haimaker/minimax/minimax-m2.5": {},
        "haimaker/minimax/minimax-m2.5-lightning": {},
        "haimaker/minimax/minimax-m2.1": {}
      }
    }
  }
}
```

#### 4. Apply the config

Run `openclaw gateway config.apply` and switch models with `/model` during a session.

Those four steps collapse into one if you let the CLI do the writing: `npx -y @haimaker/connect --openclaw` adds the provider and drops the MiniMax models into your allowlist, and `--model minimax/minimax-m2.5` pins the cheap default. The [connect overview](/connect) covers the rest.

## What I'd do

Set M2.5 as your default. It's so cheap it's almost free, and for most coding tasks it's good enough that you won't reach for a flagship model unless you really need one. Swap to M2.5 Lightning when your inputs blow past 196K or when latency is holding you back. Leave the older MiniMax versions alone. They're not worth the setup complexity.

If you're spending more than $30/month on Claude or GPT, try routing 80% of your OpenClaw traffic to M2.5 for a week. Most people see their bill drop by 60–90% with no noticeable quality regression.