GPT-5.6 Luna vs MiniMax M2.7
Pricing, context window and real answers (August 2026)
GPT-5.6 Luna (OpenAI) 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
 GPT-5.6 Luna |  MiniMax M2.7 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Input (per 1M tokens) | ¥35.74 | ¥53.61 |
| Output (per 1M tokens) | ¥214.44 | ¥214.44 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥143 | ¥161 |
| Context window | 1,050,000 tokens | 204,800 tokens |
| Release date | 7/9/2026 | 3/18/2026 |
| Input modalities | file, image, text | text |
| Arena · overall | #63 · ELO 1,452 | #121 · ELO 1,417 |
| Arena · Japanese | #36 · ELO 1,444 | #166 · ELO 1,278 |
| Arena · coding | #69 · ELO 1,496 | #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?
- Output pricing is identical (¥214.44 per 1M tokens).
- On the Overall arena board, GPT-5.6 Luna ranks higher (#63; MiniMax M2.7 is #121).
- On the Japanese arena board, GPT-5.6 Luna ranks higher (#36; MiniMax M2.7 is #166).
- On the Coding arena board, GPT-5.6 Luna ranks higher (#69; MiniMax M2.7 is #94).
- For long documents, GPT-5.6 Luna: a 1,050,000-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.
GPT-5.6 Luna
The word **“strawberry”** is spelled:
**s – t – r – a – w – b – e – r – r – y**
The letter **“r”** appears at positions **3, 8, and 9**.
**Answer: 3**
3.0s120 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…
GPT-5.6 Luna
`users` is `undefined` when `UserList` renders, so calling `.map()` on it fails. `.map()` only exists on arrays.
Common causes include:
- The parent does not pass a `users` prop.
- The prop name differs, such as `userList` instead of `users`.
- Users are loaded asynchronously and are initially undefined.
- The API response has a different shape, such as `{ data: [...] }`.
### Provide a default value
```jsx
function UserList({ users = [] }) {
return (
<ul>
{users.map(user => (
<li key={user.id}>{user.name}</li>
))}
</ul>
);
}
```
The parent should pass an array:
```jsx
<UserList users={users} />
```
If the list comes from state, initialize it as an empty…
4.8s507 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):…
GPT-5.6 Luna
### Main issues
- Imports should be at module level, not inside the function.
- A bare `except:` catches everything, including programming errors and `KeyboardInterrupt`.
- The function sleeps even after the final failed attempt.
- It retries all HTTP statuses, including permanent errors such as `404`.
- `status_code == 200` excludes other successful `2xx` responses.
- `if item["active"] == True` should generally be `if item.get("active") is True`.
- A `requests.Session` can reuse connections and improve performance.
- Returning `[]` for every failure makes it impossible to distinguish “no active items” from “request failed.”
- Retries should generally use backoff rather than a fixed delay.…
23.3s1978 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, GPT-5.6 Luna or MiniMax M2.7?
- Both are ¥214.44 per 1M output tokens on FastMetal (yen, before tax).
- How do the context windows of GPT-5.6 Luna and MiniMax M2.7 compare?
- GPT-5.6 Luna takes 1,050,000 tokens; MiniMax M2.7 takes 204,800.
- Which ranks higher, GPT-5.6 Luna or MiniMax M2.7?
- GPT-5.6 Luna ranks higher on the public arena (GPT-5.6 Luna #36, MiniMax M2.7 #166). Ranks move as the leaderboard updates.
- Can I use GPT-5.6 Luna and MiniMax M2.7 with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-5.6-luna" 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 GPT-5.6 Luna and MiniMax M2.7 from the browser chat and the API. No monthly fee.