Model comparison

Llama 3.1 8B Instruct vs Qwen3.8 Max

Pricing, context window and real answers (September 2026)

Llama 3.1 8B 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 3.1 8B Instructqwen logoQwen3.8 Max
ProviderMetaQwen
Input (per 1M tokens)¥8.94¥357.4
Output (per 1M tokens)¥14.3¥1,072.2
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥16¥894
Context window131,072 tokens1,000,000 tokens
Release date7/23/20248/3/2026
Input modalitiestexttext, image
Throughput (p50)
Arena · overall#329 · ELO 1,211#22 · ELO 1,481
Arena · Japanese#243 · ELO 1,087#18 · ELO 1,469
Arena · coding#323 · ELO 1,260#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 3.1 8B Instruct: ¥14.3 per 1M output tokens, 99% less than Qwen3.8 Max.
  • On the Overall arena board, Qwen3.8 Max ranks higher (#22; Llama 3.1 8B Instruct is #329).
  • On the Japanese arena board, Qwen3.8 Max ranks higher (#18; Llama 3.1 8B Instruct is #243).
  • On the Coding arena board, Qwen3.8 Max ranks higher (#24; Llama 3.1 8B Instruct is #323).
  • For long documents, Qwen3.8 Max: a 1,000,000-token context window against 131,072 for Llama 3.1 8B 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 3.1 8B Instruct

To count the number of 'r's in 'strawberry', I will break down the word into its individual letters and examine each one. Here's the step-by-step process: 1. The word 'strawberry' consists of the following letters: s-t-r-a-w-b-e-r-r-y. 2. I will start by counting the letters that are not 'r'. The word has 1 's', 1 't', 1 'a', 1 'w', 1 'b', 1 'e', 1 'y'. 3. Next, I will count the number of 'r's. The word has 2 'r's, one of which is part of the letter combination 'rr'. Therefore, there are 2 'r's in the word 'strawberry'.
9.7s169 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 3.1 8B Instruct

The error `TypeError: Cannot read properties of undefined (reading 'map')` typically occurs when you're trying to access a property (in this case, `map`) on an object that is `undefined`. In your case, the `users` prop passed to the `UserList` component is `undefined`. This is likely because the parent component that renders `UserList` is not passing the `users` prop, or the prop is not being properly initialized. To fix this error, you can add a simple check to ensure that `users` is not `undefined` before trying to call `map` on it: ```javascript function UserList({ users }) { if (!users) return null; // or return a default message, e.g. "No users found" return ( <ul> {us…
7.9s292 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 3.1 8B Instruct

Subject: Project Update: Revised Timeline and Mitigation Steps Dear [Client], I am writing to inform you that, after careful review and analysis, our team has encountered unexpected technical challenges during integration testing that will require additional time to resolve. As a result, we are revising the project delivery timeline by two weeks. I want to assure you that we are committed to delivering a high-quality solution that meets your expectations. Our team is working diligently to overcome these challenges and ensure a seamless delivery. The revised timeline is as follows: **Original Timeline:** Project completion date: [Original Date] **Revised Timeline:** Project completion dat…
19.2s342 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 3.1 8B Instruct or Qwen3.8 Max?
Per 1M output tokens, Llama 3.1 8B Instruct is ¥14.3 and Qwen3.8 Max is ¥1,072.2 on FastMetal (yen, before tax), so Llama 3.1 8B Instruct is cheaper.
How do the context windows of Llama 3.1 8B Instruct and Qwen3.8 Max compare?
Llama 3.1 8B Instruct takes 131,072 tokens; Qwen3.8 Max takes 1,000,000.
Which ranks higher, Llama 3.1 8B Instruct or Qwen3.8 Max?
Qwen3.8 Max ranks higher on the public arena (Llama 3.1 8B Instruct #243, Qwen3.8 Max #18). Ranks move as the leaderboard updates.
Can I use Llama 3.1 8B Instruct and Qwen3.8 Max with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "llama-3.1-8b-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 3.1 8B Instruct and Qwen3.8 Max from the browser chat and the API. No monthly fee.

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