Model comparison

Claude Fable 5 vs Llama 3.1 8B Instruct

Pricing, context window and real answers (September 2026)

Claude Fable 5 (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 Fable 5meta-llama logoLlama 3.1 8B Instruct
ProviderAnthropicMeta
Input (per 1M tokens)¥1,787¥8.94
Output (per 1M tokens)¥8,935¥14.3
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥6,255¥16
Context window1,000,000 tokens131,072 tokens
Release date6/9/20267/23/2024
Input modalitiestext, image, filetext
Throughput (p50)
Arena · overall#1 · ELO 1,506#329 · ELO 1,211
Arena · Japanese#1 · ELO 1,523#243 · ELO 1,087
Arena · coding#1 · ELO 1,552#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 Fable 5.
  • On the Overall arena board, Claude Fable 5 ranks higher (#1; Llama 3.1 8B Instruct is #329).
  • On the Japanese arena board, Claude Fable 5 ranks higher (#1; Llama 3.1 8B Instruct is #243).
  • On the Coding arena board, Claude Fable 5 ranks higher (#1; Llama 3.1 8B Instruct is #323).
  • For long documents, Claude Fable 5: 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 Fable 5

# Counting 'r's in "strawberry" Let me spell out the word letter by letter and check each one: | Position | Letter | Is it 'r'? | |----------|--------|------------| | 1 | s | No | | 2 | t | No | | 3 | **r** | ✅ Yes (1st) | | 4 | a | No | | 5 | w | No | | 6 | b | No | | 7 | e | No | | 8 | **r** | ✅ Yes (2nd) | | 9 | **r** | ✅ Yes (3rd) | | 10 | y | No | ## Reasoning breakdown: - The word "strawberry" can be split into two parts: **straw** + **berry** - "straw" contains one 'r': st**r**aw - "berry" contains two 'r's: be**rr**y (a double-r) ## Answer: **3** There are **three 'r's** in "strawberry."
39.6s354 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 Fable 5

## Cause The error means that when `UserList` renders, the `users` prop is `undefined`, so calling `.map()` on it fails. This typically happens for one of these reasons: 1. **The parent isn't passing the prop** (or has a typo in the prop name): ```jsx <UserList /> // users is undefined <UserList user={users} /> // typo: "user" instead of "users" ``` 2. **Data is fetched asynchronously** — the component renders before the API call finishes, and the initial state is `undefined`: ```jsx const [users, setUsers] = useState(); // undefined initially! ``` ## Fixes **Option 1: Default parameter value** (quick fix) ```jsx function UserList({ users = [] }) { re…
51.3s686 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 Fable 5

# Code Review Your function works, but there are several issues worth addressing. Here's a breakdown by category: ## Issues Found ### 1. **Bare `except:` clause (critical)** This catches *everything*, including `KeyboardInterrupt`, `SystemExit`, and bugs like `KeyError` or `TypeError` in your own parsing code. You'll silently retry on programming errors and mask real problems. ### 2. **Imports inside the function** Imports belong at module level (PEP 8). Function-level imports add overhead on each call and hide dependencies. ### 3. **`== True` comparison** Use truthiness directly: `if item["active"]:` (PEP 8 explicitly recommends this). ### 4. **Silent failures** Returning `[]` on fail…
38.5s1528 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 Fable 5 or Llama 3.1 8B Instruct?
Per 1M output tokens, Claude Fable 5 is ¥8,935 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 Fable 5 and Llama 3.1 8B Instruct compare?
Claude Fable 5 takes 1,000,000 tokens; Llama 3.1 8B Instruct takes 131,072.
Which ranks higher, Claude Fable 5 or Llama 3.1 8B Instruct?
Claude Fable 5 ranks higher on the public arena (Claude Fable 5 #1, Llama 3.1 8B Instruct #243). Ranks move as the leaderboard updates.
Can I use Claude Fable 5 and Llama 3.1 8B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-fable-5" 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 Fable 5 and Llama 3.1 8B Instruct from the browser chat and the API. No monthly fee.

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