Model comparison

Kimi K2.6 vs Llama 3.3 70B Instruct

Pricing, context window and real answers (September 2026)

Kimi K2.6 (Moonshot) and Llama 3.3 70B Instruct (Meta), 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 K2.6meta-llama logoLlama 3.3 70B Instruct
ProviderMoonshotMeta
Input (per 1M tokens)¥159.6¥17.87
Output (per 1M tokens)¥672¥57.18
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥496¥46
Context window262,144 tokens131,072 tokens
Release date4/20/202612/6/2024
Input modalitiestext, imagetext
Throughput (p50)
Arena · overall#52 · ELO 1,460#250 · ELO 1,318
Arena · Japanese#36 · ELO 1,443#210 · ELO 1,212
Arena · coding#39 · ELO 1,514#263 · ELO 1,346

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

Which should you pick?

  • On price, Llama 3.3 70B Instruct: ¥57.18 per 1M output tokens, 91% less than Kimi K2.6.
  • On the Overall arena board, Kimi K2.6 ranks higher (#52; Llama 3.3 70B Instruct is #250).
  • On the Japanese arena board, Kimi K2.6 ranks higher (#36; Llama 3.3 70B Instruct is #210).
  • On the Coding arena board, Kimi K2.6 ranks higher (#39; Llama 3.3 70B Instruct is #263).
  • For long documents, Kimi K2.6: a 262,144-token context window against 131,072 for Llama 3.3 70B Instruct.
  • 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 K2.6

Here is the step-by-step count: **Step 1:** Write out the word and number each letter. 1. s 2. t 3. **r** ← 1st 'r' 4. a 5. w 6. b 7. e 8. **r** ← 2nd 'r' 9. **r** ← 3rd 'r' 10. y **Step 2:** Identify the positions containing the letter 'r'. - The 3rd letter is **r** - The 8th letter is **r** - The 9th letter is **r** **Step 3:** Tally the total. There are **3** letter 'r's in "strawberry".
4.5s352 output tokens

Llama 3.3 70B Instruct

To count the number of 'r's in 'strawberry', I'll break down the word into its individual letters and then examine each one to identify the 'r's. Here are the steps: 1. **Write down the word 'strawberry' with its individual letters separated**: s-t-r-a-w-b-e-r-r-y 2. **Examine each letter to find the 'r's**: Going through the word letter by letter, I identify the 'r's. - The first 'r' appears after 't', so that's one 'r'. - Continuing through the word, I find another 'r' after 'e', which gives me a second 'r'. - Then, immediately after this second 'r', I find a third 'r'. 3. **Count the total number of 'r's identified**: From the step above, I've identified a total of 3 'r's in th…
12.6s217 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 K2.6

The error occurs because `users` is `undefined` when your component renders. The `.map()` method only works on arrays, so calling it on `undefined` throws this error. This usually happens when: - The parent component hasn't finished fetching data yet - The `users` prop isn't being passed at all - The prop is misspelled in the parent component ## Quick Fix Set a **default value** for the `users` prop: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ## Alternative Fixes **Optional chaining** (renders nothing if undefined): ```jsx {users?.map(user => <li key={user.id}>{user.name}</li>)} ```…
71.8s864 output tokens

Llama 3.3 70B Instruct

# Step-by-step analysis of the problem: 1. **The error is occurring because the `map()` function is being called on `undefined`**: This means that the `users` prop is not being passed to the `UserList` component, or its value is `undefined`. 2. **The `map()` function is a method of arrays**: It is used to iterate over the elements of an array and apply a transformation to each element. If `users` is not an array (i.e., it's `undefined`), this method will not be available, hence the error. 3. **To fix this error, you need to ensure that `users` is always an array**: You can achieve this by adding a conditional statement to check if `users` is an array before calling `map()` on it. # Fixed so…
28.4s560 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 K2.6

Here is a refactored version followed by a breakdown of the improvements. ### Refactored Function ```python import logging import time from typing import Any import requests logger = logging.getLogger(__name__) def fetch_active_items( url: str, *, retries: int = 3, timeout: float = 10.0, backoff: float = 2.0, ) -> list[dict[str, Any]]: """Fetch active items from an API endpoint with retry logic. Args: url: The API endpoint URL. retries: Number of retry attempts for transient failures. timeout: HTTP request timeout in seconds. backoff: Base delay in seconds between retries (linear backoff). Returns: A list of activ…
17.9s4061 output tokens

Llama 3.3 70B Instruct

### Review and Suggestions The provided Python function `get_data` appears to be designed to fetch data from a given URL, filter active items, and return the filtered results. Here's a review of the function focusing on readability, performance, and best practices, along with suggestions for improvement. #### Issues and Improvements: 1. **Import Statements**: Import statements should be placed at the top of the file, not inside the function. This adheres to PEP 8, the official Python style guide. 2. **Exception Handling**: The `except` block is too broad. It's better to catch specific exceptions that you anticipate might occur. For example, `requests.get` might raise `requests.RequestExc…
40.3s815 output tokens

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Frequently asked questions

Which is cheaper, Kimi K2.6 or Llama 3.3 70B Instruct?
Per 1M output tokens, Kimi K2.6 is ¥672 and Llama 3.3 70B Instruct is ¥57.18 on FastMetal (yen, before tax), so Llama 3.3 70B Instruct is cheaper.
How do the context windows of Kimi K2.6 and Llama 3.3 70B Instruct compare?
Kimi K2.6 takes 262,144 tokens; Llama 3.3 70B Instruct takes 131,072.
Which ranks higher, Kimi K2.6 or Llama 3.3 70B Instruct?
Kimi K2.6 ranks higher on the public arena (Kimi K2.6 #36, Llama 3.3 70B Instruct #210). Ranks move as the leaderboard updates.
Can I use Kimi K2.6 and Llama 3.3 70B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "kimi-k2.6" or "llama-3.3-70b-instruct" 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 K2.6 and Llama 3.3 70B Instruct from the browser chat and the API. No monthly fee.

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