Model comparison

Claude Sonnet 5 vs Llama 3.3 70B Instruct

Pricing, context window and real answers (September 2026)

Claude Sonnet 5 (Anthropic) and Llama 3.3 70B 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 Sonnet 5meta-llama logoLlama 3.3 70B Instruct
ProviderAnthropicMeta
Input (per 1M tokens)¥357.4¥17.87
Output (per 1M tokens)¥1,787¥57.18
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,251¥46
Context window1,000,000 tokens131,072 tokens
Release date6/30/202612/6/2024
Input modalitiestext, image, filetext
Throughput (p50)
Arena · overall#51 · ELO 1,461#250 · ELO 1,318
Arena · Japanese#30 · ELO 1,448#210 · ELO 1,212
Arena · coding#27 · ELO 1,520#263 · ELO 1,346

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, 97% less than Claude Sonnet 5.
  • On the Overall arena board, Claude Sonnet 5 ranks higher (#51; Llama 3.3 70B Instruct is #250).
  • On the Japanese arena board, Claude Sonnet 5 ranks higher (#30; Llama 3.3 70B Instruct is #210).
  • On the Coding arena board, Claude Sonnet 5 ranks higher (#27; Llama 3.3 70B Instruct is #263).
  • For long documents, Claude Sonnet 5: 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.

Claude Sonnet 5

# Counting 'r's in "strawberry" **Step 1: Spell out the word letter by letter** s - t - r - a - w - b - e - r - r - y **Step 2: Number each letter position** | Position | Letter | |----------|--------| | 1 | s | | 2 | t | | 3 | **r** | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** | | 9 | **r** | | 10 | y | **Step 3: Identify and count the 'r's** - Position 3: **r** ✓ (1st r) - Position 8: **r** ✓ (2nd r) - Position 9: **r** ✓ (3rd r) **Answer: There are 3 r's in "strawberry"**
5.9s405 output tokens

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

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 Sonnet 5

# Root Cause The `UserList` component receives `users` as a prop, but at the time it's rendered, `users` is `undefined` — not an empty array, but literally missing. When your code tries to call `.map()` on `undefined`, JavaScript throws that `TypeError`. This typically happens when: - The parent component hasn't fetched the data yet (e.g., an API call is still in progress) - The prop name doesn't match what's being passed down (typo) - The data source (API/state) genuinely returns `undefined` in some case # Fixes **1. Add a default prop value (quick fix)** ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </u…
8.8s750 output tokens

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

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 Sonnet 5

## Review of `get_data` Function Here's an improved version followed by an explanation of the changes: ```python import logging import time from typing import Any import requests logger = logging.getLogger(__name__) def get_data( url: str, retries: int = 3, timeout: float = 10.0, backoff_factor: float = 2.0, ) -> list[dict[str, Any]]: """ Fetch active items from the given URL. Args: url: The endpoint to fetch data from. retries: Number of attempts before giving up. timeout: Request timeout in seconds. backoff_factor: Multiplier for exponential backoff between retries. Returns: A list of dicts with "name" and "id"…
14.0s1299 output tokens

Llama 3.3 70B Instruct

### Review and Suggestions The provided Python function `get_data` appears to be designed to fetch data from a given URL, filter active items, and return the filtered results. Here's a review of the function focusing on readability, performance, and best practices, along with suggestions for improvement. #### Issues and Improvements: 1. **Import Statements**: Import statements should be placed at the top of the file, not inside the function. This adheres to PEP 8, the official Python style guide. 2. **Exception Handling**: The `except` block is too broad. It's better to catch specific exceptions that you anticipate might occur. For example, `requests.get` might raise `requests.RequestExc…
40.3s815 output tokens

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Frequently asked questions

Which is cheaper, Claude Sonnet 5 or Llama 3.3 70B Instruct?
Per 1M output tokens, Claude Sonnet 5 is ¥1,787 and Llama 3.3 70B Instruct is ¥57.18 on FastMetal (yen, before tax), so Llama 3.3 70B Instruct is cheaper.
How do the context windows of Claude Sonnet 5 and Llama 3.3 70B Instruct compare?
Claude Sonnet 5 takes 1,000,000 tokens; Llama 3.3 70B Instruct takes 131,072.
Which ranks higher, Claude Sonnet 5 or Llama 3.3 70B Instruct?
Claude Sonnet 5 ranks higher on the public arena (Claude Sonnet 5 #30, Llama 3.3 70B Instruct #210). Ranks move as the leaderboard updates.
Can I use Claude Sonnet 5 and Llama 3.3 70B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-sonnet-5" or "llama-3.3-70b-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 Sonnet 5 and Llama 3.3 70B Instruct from the browser chat and the API. No monthly fee.

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