Model comparison

Ember-1 vs Llama 3.3 70B Instruct

Pricing, context window and real answers (September 2026)

Ember-1 (Fireworks) 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

Ember-1meta-llama logoLlama 3.3 70B Instruct
ProviderFireworksMeta
Input (per 1M tokens)¥536.1¥17.87
Output (per 1M tokens)¥2,680.5¥57.18
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,876¥46
Context window1,048,576 tokens131,072 tokens
Release date9/24/202612/6/2024
Input modalitiestext, imagetext
Throughput (p50)——
Arena · overallUnranked#250 · ELO 1,318
Arena · JapaneseUnranked#210 · ELO 1,212
Arena · codingUnranked#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, 98% less than Ember-1.
  • For long documents, Ember-1: a 1,048,576-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.

Ember-1

# Counting the 'r's in "strawberry" **Step 1: Write out the word letter by letter** s - t - r - a - w - b - e - r - r - y **Step 2: Examine 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 | **Step 3: Verify by splitting the word into parts** - "straw" → contains **1** r - "berry" → contains **2** r's - Total: 1 + 2 = **3** ## Answer The word "strawberry" contains **3** r's.
8.2s482 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…

Ember-1

## The Cause The error means `users` is `undefined` when the component renders, so calling `.map()` on it fails. The component itself is fine — the problem is that the `users` prop isn't being provided (or isn't ready yet). The most common reasons this happens: 1. **Async data hasn't loaded yet** — the parent fetches users from an API, and the component renders before the fetch completes: ```jsx const [users, setUsers] = useState(); // undefined initially! ``` 2. **The prop isn't passed or is misspelled** in the parent: ```jsx <UserList user={users} /> // typo: should be "users" ``` 3. **Wrong data shape** — e.g., passing the whole response object instead of `response…
18.2s960 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):…

Ember-1

# Code Review ## Bugs and correctness issues - **Bare `except:`** catches *everything* — including `KeyboardInterrupt` and, critically, `KeyError` from `item["active"]`. A malformed item in the response would be misinterpreted as a network failure, wasting all your retries on a data problem that retrying can't fix. - **Retrying all non-200 statuses** — a 404 or 401 will never succeed on retry. Only transient errors (connection failures, timeouts, 429, 5xx) are worth retrying. - **Wasted sleep on the final attempt** — the loop sleeps 2 seconds even after the last failure, before returning `[]`. - **Ambiguous return value** — `[]` means both "request failed" and "no active items." Callers ca…
95.0s5356 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, Ember-1 or Llama 3.3 70B Instruct?
Per 1M output tokens, Ember-1 is ¥2,680.5 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 Ember-1 and Llama 3.3 70B Instruct compare?
Ember-1 takes 1,048,576 tokens; Llama 3.3 70B Instruct takes 131,072.
Can I use Ember-1 and Llama 3.3 70B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "ember-1" 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 Ember-1 and Llama 3.3 70B Instruct from the browser chat and the API. No monthly fee.

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