Model comparison

Claude Opus 4.8 vs Llama 3.1 8B Instruct

Pricing, context window and real answers (September 2026)

Claude Opus 4.8 (Anthropic) and Llama 3.1 8B 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

anthropic logoClaude Opus 4.8meta-llama logoLlama 3.1 8B Instruct
ProviderAnthropicMeta
Input (per 1M tokens)¥893.5¥8.94
Output (per 1M tokens)¥4,467.5¥14.3
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥3,127¥16
Context window1,000,000 tokens131,072 tokens
Release date5/27/20267/23/2024
Input modalitiestext, image, filetext
Throughput (p50)
Arena · overall#35 · ELO 1,473#329 · ELO 1,211
Arena · Japanese#27 · ELO 1,454#243 · ELO 1,087
Arena · coding#15 · ELO 1,530#323 · ELO 1,260

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, 100% less than Claude Opus 4.8.
  • On the Overall arena board, Claude Opus 4.8 ranks higher (#35; Llama 3.1 8B Instruct is #329).
  • On the Japanese arena board, Claude Opus 4.8 ranks higher (#27; Llama 3.1 8B Instruct is #243).
  • On the Coding arena board, Claude Opus 4.8 ranks higher (#15; Llama 3.1 8B Instruct is #323).
  • For long documents, Claude Opus 4.8: 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.

Claude Opus 4.8

# Counting 'r's in "strawberry" ## Step-by-step process: Let me go through each letter one at a time: | Position | Letter | Is it 'r'? | |----------|--------|-----------| | 1 | s | No | | 2 | t | No | | 3 | r | ✓ Yes (1) | | 4 | a | No | | 5 | w | No | | 6 | b | No | | 7 | e | No | | 8 | r | ✓ Yes (2) | | 9 | r | ✓ Yes (3) | | 10 | y | No | ## Answer: There are **3** 'r's in "strawberry". The three 'r's appear at positions 3, 8, and 9 — one after the "st" and two together in the "rry" ending.
4.5s262 output tokens

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

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…

Claude Opus 4.8

# What's Causing the Error The error tells you exactly what's happening: ``` TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) ``` At the moment `UserList` renders, the `users` prop is `undefined`, and you can't call `.map()` on `undefined`. This is extremely common when data is fetched asynchronously—the component renders **before** the data arrives. Common reasons `users` is undefined: - The parent hasn't passed the `users` prop at all - Data is still loading from an API (initial state is `undefined`) - The API response shape differs from what you expect (e.g. `data.users` vs `data`) --- # How to Fix It ## Option 1: De…
11.3s761 output tokens

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

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):…

Claude Opus 4.8

# Code Review Here's a breakdown of issues and suggested improvements for your function. ## Key Issues 1. **Imports inside the function** — should be at module level (runs on every call, harder to see dependencies). 2. **Bare `except:`** — catches everything, including `KeyboardInterrupt` and `SystemExit`. Silently swallowing errors makes debugging hard. 3. **Magic numbers** — `10`, `2`, `200` scattered around; extract as parameters/constants. 4. **`== True` comparison** — non-Pythonic; use the value directly (or `is True` if strict). 5. **Blocking `time.sleep(2)`** — fixed delay; exponential backoff is a better practice. 6. **`r.status_code == 200`** — misses other success codes; use `ra…
16.9s1403 output tokens

Llama 3.1 8B Instruct

Here are some suggestions for improving the function's readability, performance, and best practices: **Readability Improvements** 1. **Function name**: Consider renaming `get_data` to `fetch_active_items` to better reflect its purpose. 2. **Variable naming**: Use more descriptive variable names, such as `response` instead of `r`, and `active_items` instead of `result`. 3. **Code organization**: Break up the function into smaller, more focused sections. This will improve readability and make it easier to understand the logic. 4. **Type hints**: Add type hints for function parameters and return types to make the code more self-documenting. **Performance Improvements** 1. **Use a more effic…
29.7s533 output tokens

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Frequently asked questions

Which is cheaper, Claude Opus 4.8 or Llama 3.1 8B Instruct?
Per 1M output tokens, Claude Opus 4.8 is ¥4,467.5 and Llama 3.1 8B Instruct is ¥14.3 on FastMetal (yen, before tax), so Llama 3.1 8B Instruct is cheaper.
How do the context windows of Claude Opus 4.8 and Llama 3.1 8B Instruct compare?
Claude Opus 4.8 takes 1,000,000 tokens; Llama 3.1 8B Instruct takes 131,072.
Which ranks higher, Claude Opus 4.8 or Llama 3.1 8B Instruct?
Claude Opus 4.8 ranks higher on the public arena (Claude Opus 4.8 #27, Llama 3.1 8B Instruct #243). Ranks move as the leaderboard updates.
Can I use Claude Opus 4.8 and Llama 3.1 8B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-4-8" or "llama-3.1-8b-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 Claude Opus 4.8 and Llama 3.1 8B Instruct from the browser chat and the API. No monthly fee.

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