Model comparison

Claude Opus 5 vs GLM 5.3 FlashX

Pricing, context window and real answers (September 2026)

Claude Opus 5 (Anthropic) and GLM 5.3 FlashX (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

anthropic logoClaude Opus 5z-ai logoGLM 5.3 FlashX
ProviderAnthropicZ.ai
Input (per 1M tokens)¥893.5¥66.12
Output (per 1M tokens)¥4,467.5¥223.38
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥3,127¥178
Context window1,000,000 tokens1,048,576 tokens
Release date7/24/20269/18/2026
Input modalitiestext, image, filetext, image, video
Throughput (p50)
Arena · overall#10 · ELO 1,493Unranked
Arena · Japanese#6 · ELO 1,503Unranked
Arena · coding#12 · ELO 1,533Unranked

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 FlashX: ¥223.38 per 1M output tokens, 95% less than Claude Opus 5.
  • For long documents, GLM 5.3 FlashX: a 1,048,576-token context window against 1,000,000 for Claude Opus 5.
  • 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.

Claude Opus 5

## Counting the 'r's in "strawberry" **Step 1: Break the word into individual letters** | Position | Letter | |----------|--------| | 1 | s | | 2 | t | | 3 | **r** | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** | | 9 | **r** | | 10 | y | **Step 2: Identify each occurrence of 'r'** - Position 3: the 'r' in the "str-" beginning - Position 8: the first 'r' in the "-rry" ending - Position 9: the second 'r' in the "-rry" ending **Step 3: Tally them up** 3 + 8 + 9 → that's **3 occurrences**. ## Answer: 3 The tricky part is that "strawberry" contains a *double* 'r' near the end ("berry"), which is easy to skim over as a single letter. Splitting the word into "straw" (1 'r') + "berry"…
7.1s466 output tokens

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

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…

Claude Opus 5

## What's happening The error means `users` is `undefined` when `UserList` renders — so calling `.map()` on it throws. React isn't the problem; the prop simply isn't there yet (or ever). The three most common causes: 1. **The parent isn't passing the prop** (or passes it under a different name / typo): ```jsx <UserList /> // users is undefined <UserList user={data} /> // wrong name ``` 2. **The data is fetched asynchronously**, and the first render happens before it arrives: ```jsx const [users, setUsers] = useState(); // undefined on first render! useEffect(() => { fetch('/api/users').then(r => r.json()).then(setUsers); }, []); return <UserList user…
15.1s1191 output tokens

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

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):…

Claude Opus 5

# Code Review: `get_data` Overall, the function works for the happy path, but there are several issues worth addressing — the most serious being the bare `except`, the silent failure mode, and the conflation of two responsibilities (fetching and transforming). ## Critical Issues ### 1. Bare `except` swallows everything ```python except: time.sleep(2) ``` This catches `KeyboardInterrupt`, `SystemExit`, `MemoryError`, and — importantly — bugs in your own code. If `item["active"]` raises a `KeyError` because the API changed its schema, you'll retry three times and return `[]`, giving you no indication anything went wrong. Catch `requests.RequestException` instead (the base class for all…
34.7s2823 output tokens

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

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Frequently asked questions

Which is cheaper, Claude Opus 5 or GLM 5.3 FlashX?
Per 1M output tokens, Claude Opus 5 is ¥4,467.5 and GLM 5.3 FlashX is ¥223.38 on FastMetal (yen, before tax), so GLM 5.3 FlashX is cheaper.
How do the context windows of Claude Opus 5 and GLM 5.3 FlashX compare?
Claude Opus 5 takes 1,000,000 tokens; GLM 5.3 FlashX takes 1,048,576.
Can I use Claude Opus 5 and GLM 5.3 FlashX with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-5" or "glm-5.3-flashx" 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 Claude Opus 5 and GLM 5.3 FlashX from the browser chat and the API. No monthly fee.

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