GLM 5.3 Flash vs MiniMax M2.7
Pricing, context window and real answers (August 2026)
GLM 5.3 Flash (Z.ai) and MiniMax M2.7 (MiniMax), 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
 GLM 5.3 Flash |  MiniMax M2.7 | |
|---|---|---|
| Provider | Z.ai | MiniMax |
| Input (per 1M tokens) | ¥13.19 | ¥53.61 |
| Output (per 1M tokens) | ¥43.98 | ¥214.44 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥35 | ¥161 |
| Context window | 1,310,720 tokens | 204,800 tokens |
| Release date | 8/26/2026 | 3/18/2026 |
| Input modalities | text, image, video | text |
| Arena · overall | #38 · ELO 1,469 | #121 · ELO 1,417 |
| Arena · Japanese | Unranked | #166 · ELO 1,278 |
| Arena · coding | #11 · ELO 1,531 | #94 · ELO 1,481 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, GLM 5.3 Flash: ¥43.98 per 1M output tokens, 79% less than MiniMax M2.7.
- On the Overall arena board, GLM 5.3 Flash ranks higher (#38; MiniMax M2.7 is #121).
- On the Coding arena board, GLM 5.3 Flash ranks higher (#11; MiniMax M2.7 is #94).
- For long documents, GLM 5.3 Flash: a 1,310,720-token context window against 204,800 for MiniMax M2.7.
- 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.
GLM 5.3 Flash
# Counting '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: Check 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: Add up the matches**
The 'r's appear at positions 3, 8, and 9.
## Answer: There are **3** 'r's in "strawberry" 🍓
7.2s449 output tokens
MiniMax M2.7
**Step‑by‑step counting**
1. Write the word **strawberry** as a sequence of its letters:
`s‑t‑r‑a‑w‑b‑e‑r‑r‑y`
2. Go through each letter and check whether it is the letter **r** (case‑insensitive).
| Position | Letter | Is it “r”? |
|----------|--------|------------|
| 1 | s | No |
| 2 | t | No |
| 3 | **r** | Yes → count = 1 |
| 4 | a | No |
| 5 | w | No |
| 6 | b | No |
| 7 | e | No |
| 8 | **r** | Yes → count = 2 |
| 9 | **r** | Yes → count = 3 |
| 10 | y | No |
3. After checking all ten positions, the total number of times the letter **…
11.1s475 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…
GLM 5.3 Flash
## What's happening
The error means the `users` prop is `undefined` at the time `UserList` renders. Since you can't call `.map()` on `undefined`, JavaScript throws the TypeError.
This usually happens for one of these reasons:
1. **The parent isn't passing the prop** — rendering `<UserList />` without `users`, or with a typo'd prop name like `user={users}`.
2. **Data hasn't loaded yet** — the parent fetches data asynchronously and its state starts as `undefined`:
```jsx
const [users, setUsers] = useState(); // undefined until fetch resolves!
return <UserList users={users} />;
```
3. **API response shape mismatch** — the array is nested, e.g., you need `response.data.users` inst…
31.3s1639 output tokens
MiniMax M2.7
# Fixing the "Cannot read properties of undefined" Error
## The Problem
The error occurs because `users` is `undefined` when the component renders. The `.map()` method can't be called on `undefined`.
This typically happens when:
- The parent component doesn't pass the `users` prop
- The data is still loading/fetching
- The initial state is `undefined` instead of an empty array
---
## Solutions
### 1. Add a Default Parameter (Recommended)
```javascript
function UserList({ users = [] }) {
return (
<ul>
{users.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
);
}
```
### 2. Use Optional Chaining
```javascript
function UserList({ users }) {
return (
<ul>…
14.2s695 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):…
GLM 5.3 Flash
Solid foundation — you're already passing an explicit `timeout` and implementing retries, which many people skip. Here's a breakdown by category:
## Correctness & robustness (most important)
- **Bare `except:`** catches *everything*, including `KeyboardInterrupt` and `SystemExit`, and silently discards the error. Catch specific exceptions: `requests.RequestException` for network issues, `ValueError` for invalid JSON.
- **Retrying non-retryable failures**: a 401/403/404 will never succeed on retry, so you're sleeping 6 seconds for nothing. Only retry transient errors (5xx, 429, timeouts/connection errors).
- **`item["active"]` raises `KeyError`** on malformed data. Use `item.get("active")`…
116.1s6185 output tokens
MiniMax M2.7
# Code Review: `get_data` Function
## Issues Identified
### 1. **Critical Issues**
```python
# ❌ Bare except clause - catches everything including KeyboardInterrupt
except:
time.sleep(2)
```
```python
# ❌ Comparing to True - redundant comparison
if item["active"] == True:
```
```python
# ❌ No JSON error handling - r.json() can raise ValueError
data = r.json()
```
### 2. **Code Quality Issues**
| Issue | Location | Problem |
|-------|----------|---------|
| Imports inside function | Line 2-3 | Should be at module level |
| Magic numbers | `timeout=10`, `sleep(2)` | Not descriptive |
| No docstring | Function | No documentation |
| No type hints | Function signature | Missing type safet…
31.7s1690 output tokens
Frequently asked questions
- Which is cheaper, GLM 5.3 Flash or MiniMax M2.7?
- Per 1M output tokens, GLM 5.3 Flash is ¥43.98 and MiniMax M2.7 is ¥214.44 on FastMetal (yen, before tax), so GLM 5.3 Flash is cheaper.
- How do the context windows of GLM 5.3 Flash and MiniMax M2.7 compare?
- GLM 5.3 Flash takes 1,310,720 tokens; MiniMax M2.7 takes 204,800.
- Which ranks higher, GLM 5.3 Flash or MiniMax M2.7?
- GLM 5.3 Flash ranks higher on the public arena (GLM 5.3 Flash #38, MiniMax M2.7 #166). Ranks move as the leaderboard updates.
- Can I use GLM 5.3 Flash and MiniMax M2.7 with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "glm-5.3-flash" or "minimax-m2.7" 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 GLM 5.3 Flash and MiniMax M2.7 from the browser chat and the API. No monthly fee.