Model comparison

Ember-1 vs GLM 4.7

Pricing, context window and real answers (September 2026)

Ember-1 (Fireworks) 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

Ember-1z-ai logoGLM 4.7
ProviderFireworksZ.ai
Input (per 1M tokens)¥536.1¥107.22
Output (per 1M tokens)¥2,680.5¥393.14
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,876¥304
Context window1,048,576 tokens202,752 tokens
Release date9/24/202612/22/2025
Input modalitiestext, imagetext
Throughput (p50)——
Arena · overallUnranked#83 · ELO 1,442
Arena · JapaneseUnrankedUnranked
Arena · codingUnranked#91 · 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, 85% less than Ember-1.
  • For long documents, Ember-1: a 1,048,576-token context window against 202,752 for GLM 4.7.
  • 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.

Ember-1

# Counting the 'r's in "strawberry" **Step 1: Write out the word letter by letter** s - t - r - a - w - b - e - r - r - y **Step 2: Examine each letter one at a time** | Position | Letter | Is it 'r'? | |----------|--------|------------| | 1 | s | No | | 2 | t | No | | 3 | r | ✅ Yes (1) | | 4 | a | No | | 5 | w | No | | 6 | b | No | | 7 | e | No | | 8 | r | ✅ Yes (2) | | 9 | r | ✅ Yes (3) | | 10 | y | No | **Step 3: Verify by splitting the word into parts** - "straw" → contains **1** r - "berry" → contains **2** r's - Total: 1 + 2 = **3** ## Answer The word "strawberry" contains **3** r's.
8.2s482 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…

Ember-1

## The Cause The error means `users` is `undefined` when the component renders, so calling `.map()` on it fails. The component itself is fine — the problem is that the `users` prop isn't being provided (or isn't ready yet). The most common reasons this happens: 1. **Async data hasn't loaded yet** — the parent fetches users from an API, and the component renders before the fetch completes: ```jsx const [users, setUsers] = useState(); // undefined initially! ``` 2. **The prop isn't passed or is misspelled** in the parent: ```jsx <UserList user={users} /> // typo: should be "users" ``` 3. **Wrong data shape** — e.g., passing the whole response object instead of `response…
18.2s960 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):…

Ember-1

# Code Review ## Bugs and correctness issues - **Bare `except:`** catches *everything* — including `KeyboardInterrupt` and, critically, `KeyError` from `item["active"]`. A malformed item in the response would be misinterpreted as a network failure, wasting all your retries on a data problem that retrying can't fix. - **Retrying all non-200 statuses** — a 404 or 401 will never succeed on retry. Only transient errors (connection failures, timeouts, 429, 5xx) are worth retrying. - **Wasted sleep on the final attempt** — the loop sleeps 2 seconds even after the last failure, before returning `[]`. - **Ambiguous return value** — `[]` means both "request failed" and "no active items." Callers ca…
95.0s5356 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

Compare on more prompts →

Frequently asked questions

Which is cheaper, Ember-1 or GLM 4.7?
Per 1M output tokens, Ember-1 is ¥2,680.5 and GLM 4.7 is ¥393.14 on FastMetal (yen, before tax), so GLM 4.7 is cheaper.
How do the context windows of Ember-1 and GLM 4.7 compare?
Ember-1 takes 1,048,576 tokens; GLM 4.7 takes 202,752.
Can I use Ember-1 and GLM 4.7 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "ember-1" 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 Ember-1 and GLM 4.7 from the browser chat and the API. No monthly fee.

More comparisons with Ember-1

More comparisons with GLM 4.7