---
title: "GLM-4.7 Flash for OpenClaw: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using GLM-4.7 Flash with OpenClaw. Costs $0.07/M input, $0.40/M output. 200K 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-4.7 flash openclaw, glm-4.7 flash pricing, glm-4.7 flash review, zhipu ai openclaw, glm-4.7 flash api"
category: model-guide
modelData:
  provider: "Zhipu AI"
  provider_slug: "z-ai"
  full_id: "z-ai/glm-4.7-flash"
  input_cost_per_1m: 0.07
  output_cost_per_1m: 0.4
  max_input_tokens: 200000
  max_output_tokens: 32000
  features: ["function_calling", "vision", "reasoning"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "How much does it cost?"
    answer: "Input costs $0.07 per million tokens and output costs $0.40 per million tokens."
  - question: "What is the maximum context length?"
    answer: "The model supports up to 200,000 tokens of input and can generate up to 32,000 tokens of output."
  - question: "Does it support vision?"
    answer: "Yes, it includes native vision capabilities for analyzing images within your OpenClaw workflows."
---

Current as of March 2026. GLM-4.7 Flash from Zhipu AI is cheap: $0.07/M input, $0.40/M output. That's less than half the price of GPT-4o-mini on input, with a 200K context window and vision built in. The tradeoffs are what you'd expect from a flash tier model — lower reasoning quality and some TTFT variance from non-APAC regions.

## Specs

| | |
|---|---|
| **Provider** | Zhipu AI |
| **Input cost** | $0.07 / M tokens |
| **Output cost** | $0.40 / M tokens |
| **Context window** | 200K tokens |
| **Max output** | 32K tokens |
| **Parameters** | N/A |
| **Features** | function_calling, vision, reasoning |

## What it's good at

#### Price

$0.07/M input is genuinely low. For tasks where you're running thousands of agent cycles, the savings compound quickly.

#### 200K Context at This Price

Competitors with 200K context charge considerably more. For document analysis or long conversation history, the value is real.

#### Multimodal

Vision and function calling in the same flash-tier model is useful. You can handle image inputs without routing to a separate, more expensive model.

## Where it falls short

#### Regional Latency

Zhipu's servers are in Asia. Users in the US or Europe will see higher TTFT than they would from a US-hosted model.

#### English Language Nuance

It occasionally misses subtle English phrasing cues. For purely technical tasks this rarely matters; for anything requiring careful tone or interpretation, it's noticeable.

## Best use cases with OpenClaw

- **High-volume document summarization** — 200K context and $0.07/M input make this the cheapest way to read long texts at scale.
- **Background agent tasks** — Repetitive structured work like data extraction or classification. Reliable enough for the price.

## Not ideal for

- **Low-latency UI interactions** — The Asia-hosted endpoint adds latency for non-APAC users.
- **Complex creative writing** — It follows patterns rigidly. Don't expect stylistic flexibility.

## 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

Point your OpenClaw provider to api.haimaker.ai/v1 and use the model ID z-ai/glm-4.7-flash. You will need a valid Haimaker API key for authentication.

```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-4.7-flash",
            "name": "GLM-4.7 Flash",
            "cost": {
              "input": 0.07,
              "output": 0.4
            },
            "contextWindow": 200000,
            "maxTokens": 32000
          }
        ]
      }
    }
  }
}
```

## How it compares

- **vs GPT-4o-mini** — 4o-mini costs $0.15/$0.60 per million and has better English reasoning. GLM-4.7 Flash is $0.07/$0.40 with a larger context window. For pure cost efficiency, Flash wins.
- **vs Gemini 1.5 Flash** — Gemini has a 1M context window, which Flash can't match. For tasks under 200K tokens, GLM is often cheaper per token.

## Bottom line

The cheapest large-context option on the market right now. Use it for high-volume background tasks where reasoning depth isn't critical and APAC latency isn't a problem.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=glm-4.7-flash-openclaw" class="cta-button">TRY GLM-4.7 FLASH 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).*