Model comparison

Claude Haiku 4.5 vs Llama 3.1 8B Instruct

Pricing, context window and real answers (September 2026)

Claude Haiku 4.5 (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 Haiku 4.5meta-llama logoLlama 3.1 8B Instruct
ProviderAnthropicMeta
Input (per 1M tokens)¥184.8¥8.94
Output (per 1M tokens)¥924¥14.3
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥647¥16
Context window200,000 tokens131,072 tokens
Release date10/15/20257/23/2024
Input modalitiesimage, texttext
Throughput (p50)
Arena · overall#129 · ELO 1,415#329 · ELO 1,211
Arena · Japanese#112 · ELO 1,361#243 · ELO 1,087
Arena · coding#96 · ELO 1,482#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, 98% less than Claude Haiku 4.5.
  • On the Overall arena board, Claude Haiku 4.5 ranks higher (#129; Llama 3.1 8B Instruct is #329).
  • On the Japanese arena board, Claude Haiku 4.5 ranks higher (#112; Llama 3.1 8B Instruct is #243).
  • On the Coding arena board, Claude Haiku 4.5 ranks higher (#96; Llama 3.1 8B Instruct is #323).
  • For long documents, Claude Haiku 4.5: a 200,000-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 Haiku 4.5

# Counting the 'r's in "strawberry" Let me go through each letter in the word "strawberry": 1. **s** - not an 'r' 2. **t** - not an 'r' 3. **r** - this is an 'r' ✓ (1st) 4. **a** - not an 'r' 5. **w** - not an 'r' 6. **b** - not an 'r' 7. **e** - not an 'r' 8. **r** - this is an 'r' ✓ (2nd) 9. **r** - this is an 'r' ✓ (3rd) 10. **y** - not an 'r' **Answer: There are 3 'r's in "strawberry"** The 'r's appear in positions 3, 8, and 9 of the word.
4.1s228 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 Haiku 4.5

# TypeError: Cannot read properties of undefined (reading 'map') This error occurs because `users` is `undefined` when the component renders. You're trying to call `.map()` on `undefined`, which doesn't have that method. ## Common Causes 1. **Parent component didn't pass the `users` prop** 2. **Async data hasn't loaded yet** 3. **Props passed incorrectly** ## Solutions ### 1. **Provide a Default Value** (Recommended) ```javascript function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ### 2. **Add a Conditional Check** ```javascript function UserList({ users }) { if (!users) { return <p>No users a…
3.9s671 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 Haiku 4.5

# Code Review and Improvements ## Issues Found 1. **Bare `except`** - Catches all exceptions, hiding bugs 2. **Imports inside function** - Should be at module level 3. **Redundant comparison** - `== True` is unnecessary 4. **No logging** - Hard to debug failures 5. **Magic numbers** - Hardcoded timeout and sleep values 6. **Inefficient retries** - Doesn't retry on 200 with parsing errors 7. **Poor variable names** - `r`, `i` are unclear 8. **No type hints** - Reduces code clarity ## Improved Version ```python import logging import requests import time from typing import Optional from requests.exceptions import RequestException logger = logging.getLogger(__name__) def get_data( url:…
5.7s988 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 Haiku 4.5 or Llama 3.1 8B Instruct?
Per 1M output tokens, Claude Haiku 4.5 is ¥924 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 Haiku 4.5 and Llama 3.1 8B Instruct compare?
Claude Haiku 4.5 takes 200,000 tokens; Llama 3.1 8B Instruct takes 131,072.
Which ranks higher, Claude Haiku 4.5 or Llama 3.1 8B Instruct?
Claude Haiku 4.5 ranks higher on the public arena (Claude Haiku 4.5 #112, Llama 3.1 8B Instruct #243). Ranks move as the leaderboard updates.
Can I use Claude Haiku 4.5 and Llama 3.1 8B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-haiku-4-5" 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 Haiku 4.5 and Llama 3.1 8B Instruct from the browser chat and the API. No monthly fee.

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