Model comparison

Llama 3.3 70B Instruct vs Qwen3.8 Max

Pricing, context window and real answers (September 2026)

Llama 3.3 70B Instruct (Meta) and Qwen3.8 Max (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 Max
ProviderMetaQwen
Input (per 1M tokens)¥17.87¥357.4
Output (per 1M tokens)¥57.18¥1,072.2
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥46¥894
Context window131,072 tokens1,000,000 tokens
Release date12/6/20248/3/2026
Input modalitiestexttext, image
Throughput (p50)
Arena · overall#250 · ELO 1,318#22 · ELO 1,481
Arena · Japanese#210 · ELO 1,212#18 · ELO 1,469
Arena · coding#263 · ELO 1,346#24 · ELO 1,522

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, 95% less than Qwen3.8 Max.
  • On the Overall arena board, Qwen3.8 Max ranks higher (#22; Llama 3.3 70B Instruct is #250).
  • On the Japanese arena board, Qwen3.8 Max ranks higher (#18; Llama 3.3 70B Instruct is #210).
  • On the Coding arena board, Qwen3.8 Max ranks higher (#24; Llama 3.3 70B Instruct is #263).
  • For long documents, Qwen3.8 Max: 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 Max

The word **strawberry** is spelled: **s t r a w b e r r y** Now count the letter **r**: 1. s 2. t 3. **r** ← first r 4. a 5. w 6. b 7. e 8. **r** ← second r 9. **r** ← third r 10. y There are **3** letters **r** in **strawberry**.
3.5s156 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 Max

The error means `users` is `undefined` when `UserList` tries to render: ```js {users.map(user => ...)} ``` JavaScript cannot call `.map()` on `undefined`, so React throws: ```text Cannot read properties of undefined (reading 'map') ``` ## Most likely cause The parent component is rendering `UserList` without passing a valid `users` array, or it is passing `users` before the data has loaded. For example: ```jsx <UserList /> ``` or: ```jsx <UserList users={undefined} /> ``` or: ```jsx const [users, setUsers] = useState(); // undefined initially ``` Then later: ```jsx <UserList users={users} /> ``` On the first render, `users` is still `undefined`. --- ## Fix 1: Give `users` a d…
17.7s1020 output tokens

Professional Email

Write a professional email to a client explaining that the project delivery will be delayed by two weeks due to unexpected technical challenges discovered during integration testing. The tone should be apologetic but con…

Llama 3.3 70B Instruct

Subject: Notification of Revised Project Timeline Dear [Client Name], I am writing to inform you that, unfortunately, we are experiencing some unexpected technical challenges during the integration testing phase of our project. Despite our best efforts to adhere to the original timeline, these unforeseen issues have impacted our ability to meet the previously agreed-upon delivery date. I want to start by apologizing for any inconvenience this may cause and appreciate your understanding as we work to resolve these challenges. Our team has been diligently working to integrate the various components of the project, and it was during this phase that we encountered some complex technical issue…
24.8s544 output tokens

Qwen3.8 Max

Subject: Revised Project Delivery Timeline – Updated Schedule and Next Steps Dear [Client Name], I hope this message finds you well. I am writing to provide an update on the current status of the project and to inform you that, during our recent integration testing phase, we encountered several unexpected technical challenges that will impact the original delivery timeline. After careful review with the technical team, we now anticipate the revised delivery date will be [insert date – two weeks from original delivery date]. Please accept my sincere apologies for this delay. We understand the importance of this project and the expectations tied to the original schedule. While this situati…
11.9s547 output tokens

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Frequently asked questions

Which is cheaper, Llama 3.3 70B Instruct or Qwen3.8 Max?
Per 1M output tokens, Llama 3.3 70B Instruct is ¥57.18 and Qwen3.8 Max is ¥1,072.2 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 Max compare?
Llama 3.3 70B Instruct takes 131,072 tokens; Qwen3.8 Max takes 1,000,000.
Which ranks higher, Llama 3.3 70B Instruct or Qwen3.8 Max?
Qwen3.8 Max ranks higher on the public arena (Llama 3.3 70B Instruct #210, Qwen3.8 Max #18). Ranks move as the leaderboard updates.
Can I use Llama 3.3 70B Instruct and Qwen3.8 Max with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "llama-3.3-70b-instruct" or "qwen3.8-max" 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 Max from the browser chat and the API. No monthly fee.

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