Model comparison

Claude Haiku 4.5 vs GLM 4.7

Pricing, context window and real answers (August 2026)

Claude Haiku 4.5 (Anthropic) and GLM 4.7 (Z.ai), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.

Specs and pricing

anthropic logoClaude Haiku 4.5z-ai logoGLM 4.7
ProviderAnthropicZ.ai
Input (per 1M tokens)¥184.8¥107.22
Output (per 1M tokens)¥924¥393.14
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥647¥304
Context window200,000 tokens202,752 tokens
Release date10/15/202512/22/2025
Input modalitiesimage, texttext
Arena · overall#129 · ELO 1,413#79 · ELO 1,442
Arena · Japanese#112 · ELO 1,357Unranked
Arena · coding#95 · ELO 1,480#87 · ELO 1,485

Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.

Which should you pick?

  • On price, GLM 4.7: ¥393.14 per 1M output tokens, 57% less than Claude Haiku 4.5.
  • On the Overall arena board, GLM 4.7 ranks higher (#79; Claude Haiku 4.5 is #129).
  • On the Coding arena board, GLM 4.7 ranks higher (#87; Claude Haiku 4.5 is #95).
  • For long documents, GLM 4.7: a 202,752-token context window against 200,000 for Claude Haiku 4.5.
  • If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.

Real answers to the same prompts

Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

Claude Haiku 4.5

# Counting the 'r's in "strawberry" Let me go through each letter in the word "strawberry": 1. **s** - not an 'r' 2. **t** - not an 'r' 3. **r** - this is an 'r' ✓ (1st) 4. **a** - not an 'r' 5. **w** - not an 'r' 6. **b** - not an 'r' 7. **e** - not an 'r' 8. **r** - this is an 'r' ✓ (2nd) 9. **r** - this is an 'r' ✓ (3rd) 10. **y** - not an 'r' **Answer: There are 3 'r's in "strawberry"** The 'r's appear in positions 3, 8, and 9 of the word.
4.1s228 output tokens

GLM 4.7

There are **3** "r"s in "strawberry". Here is the step-by-step reasoning: 1. **Break down the word into individual letters:** s - t - r - a - w - b - e - r - r - y 2. **Identify the position of each 'r':** * The 3rd letter is **r**. * The 8th letter is **r**. * The 9th letter is **r**. 3. **Count the total occurrences:** 1 + 1 + 1 = 3.
23.3s685 output tokens

Debug This Error

I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

Claude Haiku 4.5

# TypeError: Cannot read properties of undefined (reading 'map') This error occurs because `users` is `undefined` when the component renders. You're trying to call `.map()` on `undefined`, which doesn't have that method. ## Common Causes 1. **Parent component didn't pass the `users` prop** 2. **Async data hasn't loaded yet** 3. **Props passed incorrectly** ## Solutions ### 1. **Provide a Default Value** (Recommended) ```javascript function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ### 2. **Add a Conditional Check** ```javascript function UserList({ users }) { if (!users) { return <p>No users a…
3.9s671 output tokens

GLM 4.7

### The Cause The error `TypeError: Cannot read properties of undefined (reading 'map')` means that the variable `users` is `undefined` when the component tries to render. In React, this typically happens for one of two reasons: 1. The **Parent Component** is not passing the `users` prop to `UserList`. 2. The **Parent Component** passed the prop, but the data hasn't loaded yet (e.g., an API call is still pending), so the value is initially `undefined`. Since `undefined` does not have a `.map()` method, the application crashes. --- ### How to Fix It There are two main ways to fix this: handling it inside the `UserList` component (defensive coding) or fixing the parent component passing…
42.0s1384 output tokens

Code Review

Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

Claude Haiku 4.5

# Code Review and Improvements ## Issues Found 1. **Bare `except`** - Catches all exceptions, hiding bugs 2. **Imports inside function** - Should be at module level 3. **Redundant comparison** - `== True` is unnecessary 4. **No logging** - Hard to debug failures 5. **Magic numbers** - Hardcoded timeout and sleep values 6. **Inefficient retries** - Doesn't retry on 200 with parsing errors 7. **Poor variable names** - `r`, `i` are unclear 8. **No type hints** - Reduces code clarity ## Improved Version ```python import logging import requests import time from typing import Optional from requests.exceptions import RequestException logger = logging.getLogger(__name__) def get_data( url:…
5.7s988 output tokens

GLM 4.7

Here is a review of your function with suggestions for improving readability, performance, and best practices, followed by a refactored version of the code. ### Code Review 1. **Import Placement:** You import `requests` and `time` inside the function. Imports should generally be placed at the top of the file so they are loaded once when the module starts, rather than every time the function is called. 2. **Bare `except:`:** You used `except:` without specifying an exception type. This is dangerous because it catches *everything*, including `KeyboardInterrupt` (Ctrl+C) and `SystemExit`, preventing your program from terminating when needed. You should specifically catch `requests.exception…
24.5s2951 output tokens

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Frequently asked questions

Which is cheaper, Claude Haiku 4.5 or GLM 4.7?
Per 1M output tokens, Claude Haiku 4.5 is ¥924 and GLM 4.7 is ¥393.14 on FastMetal (yen, before tax), so GLM 4.7 is cheaper.
How do the context windows of Claude Haiku 4.5 and GLM 4.7 compare?
Claude Haiku 4.5 takes 200,000 tokens; GLM 4.7 takes 202,752.
Which ranks higher, Claude Haiku 4.5 or GLM 4.7?
GLM 4.7 ranks higher on the public arena (Claude Haiku 4.5 #112, GLM 4.7 #79). Ranks move as the leaderboard updates.
Can I use Claude Haiku 4.5 and GLM 4.7 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-haiku-4-5" or "glm-4.7" as the model. Each is billed at its own rate from the same prepaid balance.

Try both on one API key

Create an account and add credit to call Claude Haiku 4.5 and GLM 4.7 from the browser chat and the API. No monthly fee.

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