---
title: "GLM-4.6 Exacto for OpenClaw: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using GLM-4.6 Exacto with OpenClaw. Costs $0.45/M input, $1.90/M output. 203K context window. Here's when to use it and when to pick something else."
date: 2026-03-12
updatedDate: 2026-03-12
image: /images/models/provider-z-ai-hero.jpg
keywords: "glm-4.6 exacto openclaw, glm-4.6 exacto pricing, glm-4.6 exacto review, zhipu ai openclaw, glm-4.6 exacto api"
category: model-guide
modelData:
  provider: "Zhipu AI"
  provider_slug: "z-ai"
  full_id: "z-ai/glm-4.6:exacto"
  input_cost_per_1m: 0.45
  output_cost_per_1m: 1.9
  max_input_tokens: 202800
  max_output_tokens: 131000
  features: ["function_calling", "reasoning"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "What are the token costs for GLM-4.6 Exacto?"
    answer: "Input costs $0.45 per million tokens and output costs $1.9 per million tokens."
  - question: "What is the maximum response size?"
    answer: "The model can generate up to 131,000 tokens in a single output, which is significantly higher than most US-based models."
---

Current as of March 2026. GLM-4.6 Exacto is Zhipu's fine-tuned variant of GLM-4.6, adding tighter instruction following for $0.05/M more on input and $0.15/M more on output. Same 203K context, same 131K output ceiling. The "Exacto" designation refers to improved precision on complex system prompts that the base model tends to drift from.

## Specs

| | |
|---|---|
| **Provider** | Zhipu AI |
| **Input cost** | $0.45 / M tokens |
| **Output cost** | $1.90 / M tokens |
| **Context window** | 203K tokens |
| **Max output** | 131K tokens |
| **Parameters** | N/A |
| **Features** | function_calling, reasoning |

## What it's good at

#### 131K Output with Better Instruction Adherence

Same large output ceiling as base GLM-4.6, but it tracks complex system prompts more reliably into the response. For agents with elaborate behavioral constraints, the difference is noticeable.

#### 203K Context at a Reasonable Price

$0.45/M for this context window is still cheaper than Claude 3.5 Sonnet ($3/M) for the same size window.

## Where it falls short

#### Still Not a Logic Model

The reasoning is improved over base GLM-4.6 but doesn't approach GPT-4o or o1 on genuinely hard problems. It can lose the thread on complex multi-step deductions.

#### Routing Latency

Accessing via Haimaker adds some overhead compared to native Tier-1 provider endpoints. TTFT can run higher than you'd expect.

## Best use cases with OpenClaw

- **Long-form Code Generation with Specific Constraints** — When you have detailed style guides or architectural rules in your system prompt that the base model tends to ignore.
- **Budget-Conscious RAG** — 203K context at $0.45/M for tasks where Claude's pricing is prohibitive but you need better instruction following than base GLM-4.6.

## Not ideal for

- **Low-Latency Chatbots** — GLM-4.7 Flash is faster and cheaper for real-time interactions.
- **High-Stakes Financial Logic** — The reasoning isn't rigorous enough for critical mathematical transformations. Use o1 or similar for that.

## Run it through Haimaker

Skip juggling API keys. One Haimaker key gives you access to every model on the platform. Tell OpenClaw:

```
Add Haimaker as a custom provider to my OpenClaw config. Use these details:

- Provider name: haimaker
- Base URL: https://api.haimaker.ai/v1
- API key: [PASTE YOUR HAIMAKER API KEY HERE]
- API type: openai-completions

Add the auto-router model:
- haimaker/auto (reasoning: false, context: 128000, max tokens: 32000)

Create an alias "auto" for easy switching. Apply the config when done.
```

Or skip model selection entirely — Haimaker's [auto-router](/blog/openclaw-auto-router-setup/) picks the best model for each task so you don't have to.

## OpenClaw setup

Set your base URL to api.haimaker.ai/v1 and use the identifier z-ai/glm-4.6:exacto. You must increase your client-side timeout settings to accommodate the potentially massive 131K token responses.

```json
{
  "models": {
    "mode": "merge",
    "providers": {
      "z-ai": {
        "baseUrl": "https://api.haimaker.ai/v1",
        "apiKey": "YOUR-Z-AI-API-KEY",
        "api": "openai-completions",
        "models": [
          {
            "id": "glm-4.6:exacto",
            "name": "GLM-4.6 Exacto",
            "cost": {
              "input": 0.45,
              "output": 1.9
            },
            "contextWindow": 202800,
            "maxTokens": 131000
          }
        ]
      }
    }
  }
}
```

## How it compares

- **vs GLM-4.6** — Same context and output limits, $0.05/$0.15 more per million. Worth it if you're seeing instruction drift in the base model.
- **vs [GLM-4.7 Flash](/blog/glm-4.7-flash-openclaw)** — Flash is faster and cheaper. Exacto is the choice when you need to generate large outputs and the model needs to stay tightly on-spec throughout.

## Bottom line

A small premium over base GLM-4.6 for better instruction adherence on long outputs. If instruction drift isn't a problem for you, save the $0.05/M and use the base model.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=glm-4.6-exacto-openclaw" class="cta-button">TRY GLM-4.6 EXACTO ON HAIMAKER</a>

---

*For setup instructions, see our [API key guide](/blog/openclaw-api-key-setup). For all available models, see the [complete models guide](/blog/best-models-for-openclaw).*