Model comparison

GLM 5.3 FlashX vs Solar Pro 4

Pricing, context window and real answers (September 2026)

GLM 5.3 FlashX (Z.ai) and Solar Pro 4 (Upstage), 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 5.3 FlashXSolar Pro 4
ProviderZ.aiUpstage
Input (per 1M tokens)¥66.12¥16.08
Output (per 1M tokens)¥223.38¥64.33
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥178¥48
Context window1,048,576 tokens524,288 tokens
Release date9/18/20268/10/2026
Input modalitiestext, image, videotext
Throughput (p50)
Arena · overallUnranked#177 · ELO 1,376
Arena · JapaneseUnrankedUnranked
Arena · codingUnranked#144 · ELO 1,449

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

Which should you pick?

  • On price, Solar Pro 4: ¥64.33 per 1M output tokens, 71% less than GLM 5.3 FlashX.
  • For long documents, GLM 5.3 FlashX: a 1,048,576-token context window against 524,288 for Solar Pro 4.
  • 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 FlashX

# Counting 'r's in "strawberry" **Step 1: Write out each letter with its position** | Position | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |----------|---|---|---|---|---|---|---|---|---|----| | Letter | s | t | r | a | w | b | e | r | r | y | **Step 2: Check each letter one by one** - Position 1: **s** → not an 'r' - Position 2: **t** → not an 'r' - Position 3: **r** → ✅ 'r' found (count: 1) - Position 4: **a** → not an 'r' - Position 5: **w** → not an 'r' - Position 6: **b** → not an 'r' - Position 7: **e** → not an 'r' - Position 8: **r** → ✅ 'r' found (count: 2) - Position 9: **r** → ✅ 'r' found (count: 3) - Position 10: **y** → not an 'r' **Step 3: Tally the results** The 'r's a…
4.1s549 output tokens

Solar Pro 4

The word "strawberry" contains **3** 'r's. Here's the step-by-step breakdown: 1. **Spell out the word explicitly** to isolate each letter: `s - t - r - a - w - b - e - r - r - y` 2. **Scan through the letters in order** and count every instance of the lowercase letter `r`: - `s` → 0 - `t` → 0 - `r` → **1** - `a` → 0 - `w` → 0 - `b` → 0 - `e` → 0 - `r` → **2** - `r` → **3** - `y` → 0 3. **Total the count**: The three `r`s appear at positions 3, 8, and 9 in the 10-letter word. **Final count: 3**
11.4s215 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 FlashX

## What's Happening The error means `users` is `undefined` at the time `UserList` renders. You're calling `.map()` on `undefined`, which JavaScript doesn't allow. This almost always happens for one of these reasons: 1. **The parent isn't passing the prop** — `<UserList />` with no `users` prop 2. **Data hasn't loaded yet** — you're fetching asynchronously, so the first render happens before the data arrives 3. **Prop name mismatch** — e.g., passing `user` but reading `users` 4. **Parent state initialized to `undefined`** — e.g., `useState()` instead of `useState([])` ## Fixes ### Option 1: Default parameter (simplest) ```jsx function UserList({ users = [] }) { return ( <ul>…
6.8s934 output tokens

Solar Pro 4

### What's Causing the Error The error `TypeError: Cannot read properties of undefined (reading 'map')` means that the `users` prop being passed to your `UserList` component is `undefined`. Since you're calling `.map()` directly on it, JavaScript throws an error because `undefined` doesn't have a `map` method. This typically happens when: - The parent component hasn't passed the `users` prop - The prop is still loading (e.g., from an API call) - The prop is conditionally undefined --- ### How to Fix It You have a few options to handle this safely: #### ✅ Option 1: Add a Default Prop Value (Recommended) Provide a fallback empty array so `.map()` always has something to work with: ```j…
24.7s539 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 FlashX

# Code Review The function works, but there are several issues worth addressing — including one subtle bug caused by the bare `except`. ## Correctness issues (most important) 1. **Bare `except:` is dangerous and masks a bug.** It catches *everything*, including `KeyboardInterrupt` and `SystemExit` (so Ctrl+C during a retry sleep is swallowed). Worse: because your data-processing loop sits inside the `try`, a `KeyError` from a malformed item is treated as a network failure — triggering a pointless re-download of the URL and silently discarding the real error. Catch only `requests.RequestException` (and `ValueError` for JSON decode failures). 2. **Silent failure.** Returning `[]` on error…
36.9s5836 output tokens

Solar Pro 4

Here’s a breakdown of the issues in the original function, followed by a refactored version and a detailed explanation of the improvements. ### 🔍 Key Issues in the Original Code | Area | Problem | |------|---------| | **Import organization** | `import` inside the function is evaluated on every call. Imports should live at the top of the module. | | **Exception handling** | Bare `except:` catches `SystemExit`, `KeyboardInterrupt`, and other fatal errors. Always catch specific exceptions (`requests.RequestException`). | | **Loose equality** | `== True` is redundant and can cause subtle bugs. Use `if item["active"]:` or `.get()`. | | **HTTP status handling** | Calling `.json()` only on `200`…
17.5s1172 output tokens

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Frequently asked questions

Which is cheaper, GLM 5.3 FlashX or Solar Pro 4?
Per 1M output tokens, GLM 5.3 FlashX is ¥223.38 and Solar Pro 4 is ¥64.33 on FastMetal (yen, before tax), so Solar Pro 4 is cheaper.
How do the context windows of GLM 5.3 FlashX and Solar Pro 4 compare?
GLM 5.3 FlashX takes 1,048,576 tokens; Solar Pro 4 takes 524,288.
Can I use GLM 5.3 FlashX and Solar Pro 4 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "glm-5.3-flashx" or "solar-pro4" 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 FlashX and Solar Pro 4 from the browser chat and the API. No monthly fee.

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