Model comparison

Kimi K3 vs Pareto

Pricing, context window and real answers (September 2026)

Kimi K3 (Moonshot) and Pareto (Unbiased), 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

moonshotai logoKimi K3Pareto
ProviderMoonshotUnbiased
Input (per 1M tokens)¥504¥446.75
Output (per 1M tokens)¥2,520¥1,340.25
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,764¥1,117
Context window1,048,576 tokens262,144 tokens
Release date7/16/20269/17/2026
Input modalitiestext, imagetext, image
Throughput (p50)
Arena · overall#17 · ELO 1,485Unranked
Arena · Japanese#2 · ELO 1,511Unranked
Arena · coding#7 · ELO 1,538Unranked

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

Which should you pick?

  • On price, Pareto: ¥1,340.25 per 1M output tokens, 47% less than Kimi K3.
  • For long documents, Kimi K3: a 1,048,576-token context window against 262,144 for Pareto.
  • 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.

Kimi K3

# Counting the 'r's in "strawberry" **Step 1: Write out each letter with its position** | 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 'r'** - Position 3: the 'r' in "st**r**" - Position 8: the first 'r' in "be**r**ry" - Position 9: the second 'r' in "ber**r**y" **Step 3: Verify by splitting the word** "Strawberry" = "straw" + "berry" - "straw" contains **1** r - "berry" contains **2** r's **Answer: There are 3 r's in "strawberry."** 🍓
12.2s594 output tokens

Pareto

To count the number of 'r's in the word "strawberry," let's break it down letter by letter: 1. **s** - not an 'r' 2. **t** - not an 'r' 3. **r** - **Yes**, this is the first 'r'. 4. **a** - not an 'r' 5. **w** - not an 'r' 6. **b** - not an 'r' 7. **e** - not an 'r' 8. **r** - **Yes**, this is the second 'r'. 9. **r** - **Yes**, this is the third 'r'. 10. **y** - not an 'r' Counting the occurrences: - The 3rd letter is 'r'. - The 8th letter is 'r'. - The 9th letter is 'r'. There are **3** 'r's in "strawberry".
5.5s225 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…

Kimi K3

## What's causing it The error means `users` is `undefined` when the component renders — `.map()` only exists on arrays, so calling it on `undefined` throws. Your component code is fine; the problem is **upstream**: whatever renders `<UserList />` isn't passing a valid array. The most common culprit is **async data fetching with uninitialized state** in the parent: ```jsx function App() { const [users, setUsers] = useState(); // ← undefined! useEffect(() => { fetch('/api/users') .then(res => res.json()) .then(setUsers); }, []); return <UserList users={users} />; // undefined on first render } ``` The component renders *before* the fetch resolves, so `users` is `…
47.5s1756 output tokens

Pareto

The error means `users` is `undefined` when `UserList` renders. Destructuring a prop does **not** protect against it: ```jsx function UserList({ users }) { // users can still be undefined return <ul>{users.map(...)}</ul>; // 💥 } ``` This usually happens when: - The parent renders `<UserList />` without passing `users` - The parent’s state starts as `undefined` before an async fetch finishes - The API response is not an array, or `users` is passed as `undefined` ## Fix 1: Default the prop to an empty array ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This works when…
11.6s1478 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):…

Kimi K3

This works, but there are several issues worth addressing. Here's a breakdown, followed by an improved version. ## Issues ### Correctness & best practices 1. **Bare `except:`** — catches *everything*, including `KeyboardInterrupt` and programming bugs like `KeyError` on a malformed item (which then get pointlessly retried). Catch `requests.RequestException` specifically. 2. **Silent failures** — errors are swallowed with no logging, and returning `[]` makes "API is down" indistinguishable from "no active items." At minimum, log; ideally, raise after the final attempt. 3. **Retrying non-retryable errors** — a 400/401/404 will never succeed on retry, but the code sleeps and retries anyway. O…
57.6s8060 output tokens

Pareto

The function is straightforward, but its error handling hides failures and retries requests that may never succeed. ### Main improvements - **Move imports to module scope** for readability and conventional dependency management. - **Avoid bare `except:`.** It catches everything, including programming errors and `KeyboardInterrupt`. Catch specific request failures instead. - **Retry selectively.** Timeouts, connection failures, rate limits, and certain server errors may be temporary; most other HTTP errors should surface immediately. - **Use exponential backoff** and avoid sleeping after the last attempt. - **Use a list comprehension** to express the filtering and transformation directly. -…
30.3s1090 output tokens

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Frequently asked questions

Which is cheaper, Kimi K3 or Pareto?
Per 1M output tokens, Kimi K3 is ¥2,520 and Pareto is ¥1,340.25 on FastMetal (yen, before tax), so Pareto is cheaper.
How do the context windows of Kimi K3 and Pareto compare?
Kimi K3 takes 1,048,576 tokens; Pareto takes 262,144.
Can I use Kimi K3 and Pareto with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "kimi-k3" or "pareto" 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 Kimi K3 and Pareto from the browser chat and the API. No monthly fee.

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