Model comparison

Llama 3.3 70B Instruct vs Qwen3.8 27B

Pricing, context window and real answers (September 2026)

Llama 3.3 70B Instruct (Meta) and Qwen3.8 27B (Qwen), 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

meta-llama logoLlama 3.3 70B Instructqwen logoQwen3.8 27B
ProviderMetaQwen
Input (per 1M tokens)¥17.87¥80.41
Output (per 1M tokens)¥57.18¥571.84
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥46¥366
Context window131,072 tokens1,000,000 tokens
Release date12/6/20248/14/2026
Input modalitiestexttext, image, video
Throughput (p50)
Arena · overall#250 · ELO 1,318#90 · ELO 1,437
Arena · Japanese#210 · ELO 1,212#91 · ELO 1,383
Arena · coding#263 · ELO 1,346#67 · ELO 1,499

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, 90% less than Qwen3.8 27B.
  • On the Overall arena board, Qwen3.8 27B ranks higher (#90; Llama 3.3 70B Instruct is #250).
  • On the Japanese arena board, Qwen3.8 27B ranks higher (#91; Llama 3.3 70B Instruct is #210).
  • On the Coding arena board, Qwen3.8 27B ranks higher (#67; Llama 3.3 70B Instruct is #263).
  • For long documents, Qwen3.8 27B: a 1,000,000-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.

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

Qwen3.8 27B

The word is: **strawberry** Break it into letters: 1. s 2. t 3. r 4. a 5. w 6. b 7. e 8. r 9. r 10. y Now count the **r**’s: - 3rd letter: **r** - 8th letter: **r** - 9th letter: **r** So, there are **3** r’s in **strawberry**.
3.6s239 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…

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

Qwen3.8 27B

The error means that `users` is `undefined` when `UserList` renders: ```jsx {users.map(...)} ``` JavaScript cannot call `.map()` on `undefined`. For example, this would cause the error: ```jsx <UserList /> ``` because `users` is not being passed in. ## Simple fix: give `users` a default value ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` Now if `users` is not passed in, it defaults to an empty array. ## Better fix: make sure the parent passes an array Wherever you use `UserList`, pass `users`: ```jsx <UserList users={users} /> ``` If `users` comes from an API or state, make sure it…
9.5s601 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):…

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

Qwen3.8 27B

The function works at a basic level, but it has several readability, reliability, and best-practice issues. ## Main issues 1. **Imports inside the function** ```python import requests import time ``` Imports should normally be at the top of the module unless there is a specific reason to lazy-load them. 2. **Bare `except` is too broad** ```python except: time.sleep(2) ``` This catches almost everything, including `KeyboardInterrupt`, `SystemExit`, `KeyError`, `TypeError`, and other programming errors. It makes debugging harder and can retry failures that should not be retried. 3. **It retries on every non-`200` status** Retrying `401 Unauthorized`, `4…
205.9s13103 output tokens

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Frequently asked questions

Which is cheaper, Llama 3.3 70B Instruct or Qwen3.8 27B?
Per 1M output tokens, Llama 3.3 70B Instruct is ¥57.18 and Qwen3.8 27B is ¥571.84 on FastMetal (yen, before tax), so Llama 3.3 70B Instruct is cheaper.
How do the context windows of Llama 3.3 70B Instruct and Qwen3.8 27B compare?
Llama 3.3 70B Instruct takes 131,072 tokens; Qwen3.8 27B takes 1,000,000.
Which ranks higher, Llama 3.3 70B Instruct or Qwen3.8 27B?
Qwen3.8 27B ranks higher on the public arena (Llama 3.3 70B Instruct #210, Qwen3.8 27B #91). Ranks move as the leaderboard updates.
Can I use Llama 3.3 70B Instruct and Qwen3.8 27B with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "llama-3.3-70b-instruct" or "qwen3.8-27b" 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 Llama 3.3 70B Instruct and Qwen3.8 27B from the browser chat and the API. No monthly fee.

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