Model comparison

DeepSeek V4 Pro vs Kimi K3.1 Pro

Pricing, context window and real answers (October 2026)

DeepSeek V4 Pro (DeepSeek) and Kimi K3.1 Pro (Moonshot), 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

deepseek logoDeepSeek V4 Promoonshotai logoKimi K3.1 Pro
ProviderDeepSeekMoonshot
Input (per 1M tokens)$1.38$2.11
Output (per 1M tokens)$2.75$10.55
Typical cost (1,000 in + 500 out tokens × 1,000 calls)$2.75$7.39
Context window1,048,576 tokens1,048,576 tokens
Release date4/24/202610/23/2026
Input modalitiestexttext, image, video
Throughput (p50)133 tokens/s (n=27)—
Arena · overall#64 · ELO 1,458Unranked
Arena · Japanese#35 · ELO 1,456Unranked
Arena · coding#79 · ELO 1,501Unranked

Prices are FastMetal's rates, before tax.

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-22; category names mapped and ratings rounded by FastMetal.

Which should you pick?

  • On price, DeepSeek V4 Pro: $2.75 per 1M output tokens, 74% less than Kimi K3.1 Pro.
  • 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.

DeepSeek V4 Pro

The word is "strawberry". Let's count the occurrences of the letter 'r' step by step: 1. Write the word: s t r a w b e r r y 2. Examine each character: - s: not an 'r' - t: not an 'r' - r: is an 'r' → count 1 - a: not an 'r' - w: not an 'r' - b: not an 'r' - e: not an 'r' - r: is an 'r' → count 2 - r: is an 'r' → count 3 - y: not an 'r' 3. Total number of 'r's = 3. Therefore, there are **3** 'r's in "strawberry".
7.3s1136 output tokens

Kimi K3.1 Pro

There are **3** ‘r’s in **“strawberry.”** 1. Write out each letter: **s – t – r – a – w – b – e – r – r – y** 2. Locate the ‘r’s: positions **3, 8, and 9**. 3. Count them: **1 + 1 + 1 = 3**.
11.3s

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…

DeepSeek V4 Pro

The error is occurring because `users` is `undefined` when the component renders, and you're trying to call `.map()` on it. This typically happens when the data hasn't been loaded yet or wasn't passed correctly to the component. ## Here are several ways to fix this: ### 1. **Add a default value with empty array (Simplest fix)** ```javascript function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ### 2. **Add a conditional check** ```javascript function UserList({ users }) { if (!users) { return <div>No users found</div>; } return ( <ul> {users.map(user => <li key={user.id}>{user.name}<…
6.9s442 output tokens

Kimi K3.1 Pro

## What's causing the error The error means `users` is `undefined` when the component renders, and you can't call `.map()` on `undefined`. The component itself is fine — the problem is that whatever renders `<UserList />` either isn't passing the prop, or is passing a value that isn't an array yet. The most common cause is **async data fetching**: the parent renders `UserList` before the data has loaded. ```jsx function App() { const [users, setUsers] = useState(); // ❌ undefined on first render useEffect(() => { fetch('/api/users') .then(res => res.json()) .then(setUsers); }, []); return <UserList users={users} />; // users is undefined here initially } ``` On…
36.3s

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):…

DeepSeek V4 Pro

Here’s a review of your `get_data` function, highlighting issues and suggesting improvements. ## Overall Observations - The function works but has several readability, robustness, and maintainability issues. - Imports are inside the function, bare `except` hides errors, and the filtering logic is not Pythonic. - No type hints or docstring, making it harder to use and understand. ## Specific Improvements ### 1. Move Imports to the Top of the Module **Why:** Imports inside a function are executed every time the function is called, which is slightly slower and violates PEP 8 style guidelines. **Before:** ```python def get_data(url, retries=3): import requests import time # ... `…
40.5s2277 output tokens

Kimi K3.1 Pro

The timeout and bounded retry loop are good starting points. The biggest issue is that failures—and even programming errors—are silently converted into retries and then `[]`. ### Suggested improvements - **Avoid bare `except:`**. It catches `KeyboardInterrupt`, `KeyError`, JSON/schema errors, and other bugs. Retry only expected transient network failures; let malformed responses fail visibly. - **Use a deliberate retry policy**. Retrying `401`, `403`, or `404` usually wastes time. Retry only transient statuses, use exponential backoff, and avoid sleeping after the final attempt. - **Do not use `[]` for both failure and no results**. Prefer raising the final exception so callers can disting…
560.2s

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Frequently asked questions

Which is cheaper, DeepSeek V4 Pro or Kimi K3.1 Pro?
Per 1M output tokens, DeepSeek V4 Pro is $2.75 and Kimi K3.1 Pro is $10.55 on FastMetal (US dollars, before tax), so DeepSeek V4 Pro is cheaper.
How do the context windows of DeepSeek V4 Pro and Kimi K3.1 Pro compare?
DeepSeek V4 Pro takes 1,048,576 tokens; Kimi K3.1 Pro takes 1,048,576.
Can I use DeepSeek V4 Pro and Kimi K3.1 Pro with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4-pro" or "kimi-k3.1-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 DeepSeek V4 Pro and Kimi K3.1 Pro from the browser chat and the API. No monthly fee.

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