Model comparison

DeepSeek V4 Flash vs Llama 3.3 70B Instruct

Pricing, context window and real answers (September 2026)

DeepSeek V4 Flash (DeepSeek) 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

deepseek logoDeepSeek V4 Flashmeta-llama logoLlama 3.3 70B Instruct
ProviderDeepSeekMeta
Input (per 1M tokens)¥24.61¥17.87
Output (per 1M tokens)¥49.21¥57.18
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥49¥46
Context window1,048,576 tokens131,072 tokens
Release date4/24/202612/6/2024
Input modalitiestexttext
Throughput (p50)
Arena · overall#92 · ELO 1,436#250 · ELO 1,318
Arena · Japanese#78 · ELO 1,396#210 · ELO 1,212
Arena · coding#92 · ELO 1,483#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, DeepSeek V4 Flash: ¥49.21 per 1M output tokens, 14% less than Llama 3.3 70B Instruct.
  • On the Overall arena board, DeepSeek V4 Flash ranks higher (#92; Llama 3.3 70B Instruct is #250).
  • On the Japanese arena board, DeepSeek V4 Flash ranks higher (#78; Llama 3.3 70B Instruct is #210).
  • On the Coding arena board, DeepSeek V4 Flash ranks higher (#92; Llama 3.3 70B Instruct is #263).
  • For long documents, DeepSeek V4 Flash: 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.

DeepSeek V4 Flash

The word "strawberry" is spelled as s-t-r-a-w-b-e-r-r-y. I go through each letter: s (no), t (no), r (yes, first), a (no), w (no), b (no), e (no), r (yes, second), r (yes, third), y (no). Thus, there are three 'r's.
3.9s251 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…

DeepSeek V4 Flash

The error occurs because `users` is `undefined` when the component tries to call `.map()` on it. ## Why this happens Your component expects `users` to be an array, but it's receiving `undefined` as a prop. This typically happens when: 1. The parent component doesn't pass the `users` prop 2. The data fetching hasn't completed yet (async data loading) 3. The API response is missing the expected data structure ## How to fix it ### Option 1: Default prop value (Recommended for initial state) ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ### Option 2: Guard clause (More explicit) ```jsx func…
6.3s422 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):…

DeepSeek V4 Flash

Here's a comprehensive review with suggested improvements: ## Issues Identified: 1. **Import at wrong location** - Imports inside functions are inefficient and non-standard 2. **Bare `except:` clause** - Catches all exceptions including `KeyboardInterrupt`, `SystemExit` 3. **Missing error handling granularity** - Should distinguish between retryable and non-retryable errors 4. **Duplicate sleep logic** - Same sleep in `else` and `except` blocks 5. **Unnecessary variable** - `data` is only used once 6. **Inefficient list building** - Manual loop instead of list comprehension 7. **Hardcoded error message** - No logging or error context 8. **Missing type hints** - No type annotations 9. **Fun…
12.6s987 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, DeepSeek V4 Flash or Llama 3.3 70B Instruct?
Per 1M output tokens, DeepSeek V4 Flash is ¥49.21 and Llama 3.3 70B Instruct is ¥57.18 on FastMetal (yen, before tax), so DeepSeek V4 Flash is cheaper.
How do the context windows of DeepSeek V4 Flash and Llama 3.3 70B Instruct compare?
DeepSeek V4 Flash takes 1,048,576 tokens; Llama 3.3 70B Instruct takes 131,072.
Which ranks higher, DeepSeek V4 Flash or Llama 3.3 70B Instruct?
DeepSeek V4 Flash ranks higher on the public arena (DeepSeek V4 Flash #78, Llama 3.3 70B Instruct #210). Ranks move as the leaderboard updates.
Can I use DeepSeek V4 Flash and Llama 3.3 70B Instruct with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4-flash" 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 DeepSeek V4 Flash and Llama 3.3 70B Instruct from the browser chat and the API. No monthly fee.

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