Model comparison

GLM 5.2 vs MiMo-V2.5-Pro

Pricing, context window and real answers (August 2026)

GLM 5.2 (Z.ai) and MiMo-V2.5-Pro (Xiaomi), 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

z-ai logoGLM 5.2MiMo-V2.5-Pro
ProviderZ.aiXiaomi
Input (per 1M tokens)¥250.18¥77.73
Output (per 1M tokens)¥786.28¥155.47
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥643¥155
Context window1,048,576 tokens1,050,000 tokens
Release date6/16/20264/22/2026
Input modalitiestexttext
Arena · overall#31 · ELO 1,469#38 · ELO 1,465
Arena · Japanese#13 · ELO 1,472#44 · ELO 1,422
Arena · coding#46 · ELO 1,506#26 · ELO 1,519

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

Which should you pick?

  • On price, MiMo-V2.5-Pro: ¥155.47 per 1M output tokens, 80% less than GLM 5.2.
  • On the Overall arena board, GLM 5.2 ranks higher (#31; MiMo-V2.5-Pro is #38).
  • On the Japanese arena board, GLM 5.2 ranks higher (#13; MiMo-V2.5-Pro is #44).
  • On the Coding arena board, MiMo-V2.5-Pro ranks higher (#26; GLM 5.2 is #46).
  • For long documents, MiMo-V2.5-Pro: a 1,050,000-token context window against 1,048,576 for GLM 5.2.
  • 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 5.2

To count the number of 'r's in the word 'strawberry', let's look at the word letter by letter: 1. **s** - no 'r' 2. **t** - no 'r' 3. **r** - this is the 1st 'r' 4. **a** - no 'r' 5. **w** - no 'r' 6. **b** - no 'r' 7. **e** - no 'r' 8. **r** - this is the 2nd 'r' 9. **r** - this is the 3rd 'r' 10. **y** - no 'r' Total count: 3 There are **3** 'r's in the word 'strawberry'.
2.6s439 output tokens

MiMo-V2.5-Pro

## Counting the r's in "strawberry" Let me go through each letter one by one: | 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 | **There are 3 r's in "strawberry."** The word breaks down as **straw·ber·ry**, and the r's appear at the end of "staw" and then twice in the double-r of "rry."
8.3s313 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 5.2

The error `TypeError: Cannot read properties of undefined (reading 'map')` happens because the `users` prop being passed to your `UserList` component is currently `undefined`. When JavaScript tries to call `.map()` on `undefined`, it throws this error. Here are the best ways to fix this: ### Fix 1: Provide a default value (Recommended) You can provide a default empty array `[]` when destructuring the props. This ensures that even if `users` is not passed down, the `.map()` function will still have an array to iterate over (resulting in an empty list rather than a crash). ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</…
8.3s1006 output tokens

MiMo-V2.5-Pro

# Fixing `Cannot read properties of undefined (reading 'map')` ## The Problem The error means `users` is `undefined` when the component first renders. This typically happens when: 1. **The parent component hasn't passed the `users` prop** 2. **The data is being fetched asynchronously and isn't available yet** 3. **The prop name is misspelled in the parent** For example, the parent might be rendering it like this: ```jsx // ❌ No users prop passed — `users` will be undefined <UserList /> ``` ## Solutions ### 1. Add a Default Prop Value (Simple Fix) ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); }…
14.4s680 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 5.2

Here is a review of your Python function, broken down by readability, performance, and best practices, followed by a refactored version of the code. ### 1. Best Practices * **Move imports to the top:** Importing modules inside a function is generally discouraged. While Python caches imports, putting `import requests` and `import time` at the top of your file is the standard convention and improves readability. * **Avoid bare `except:` blocks:** Using a bare `except:` catches everything, including `KeyboardInterrupt` and `SystemExit`. This makes it hard to interrupt your program if it gets stuck in a loop. You should catch specific exceptions, such as `requests.exceptions.RequestException` (…
10.9s2061 output tokens

MiMo-V2.5-Pro

# Code Review: `get_data` Function ## Issues Identified ``` ┌──────────────────────────────────────────────────────────────┐ │ ISSUE SEVERITY MAP │ ├──────────────────┬────────────┬──────────────────────────────┤ │ Issue │ Severity │ Category │ ├──────────────────┼────────────┼──────────────────────────────┤ │ Bare except │ 🔴 High │ Error Handling / Best Prac. │ │ Silent failures │ 🔴 High │ Debuggability │ │ == True check │ 🟡 Medium │ Readability / PEP 8 │ │ Inline imports │ 🟡 Medium │ Best Practice │ │ No type hints │ 🟡 Medium │ Best Practice…
10.4s1572 output tokens

Compare on more prompts →

Frequently asked questions

Which is cheaper, GLM 5.2 or MiMo-V2.5-Pro?
Per 1M output tokens, GLM 5.2 is ¥786.28 and MiMo-V2.5-Pro is ¥155.47 on FastMetal (yen, before tax), so MiMo-V2.5-Pro is cheaper.
How do the context windows of GLM 5.2 and MiMo-V2.5-Pro compare?
GLM 5.2 takes 1,048,576 tokens; MiMo-V2.5-Pro takes 1,050,000.
Which ranks higher, GLM 5.2 or MiMo-V2.5-Pro?
GLM 5.2 ranks higher on the public arena (GLM 5.2 #13, MiMo-V2.5-Pro #44). Ranks move as the leaderboard updates.
Can I use GLM 5.2 and MiMo-V2.5-Pro with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "glm-5.2" or "mimo-v2.5-pro" 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 5.2 and MiMo-V2.5-Pro from the browser chat and the API. No monthly fee.

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