Model comparison

DeepSeek V4 Flash vs Qwen3.8 27B

Pricing, context window and real answers (August 2026)

DeepSeek V4 Flash (DeepSeek) and Qwen3.8 27B (Qwen), 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 Flashqwen logoQwen3.8 27B
ProviderDeepSeekQwen
Input (per 1M tokens)¥16.08¥80.41
Output (per 1M tokens)¥32.17¥571.84
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥32¥366
Context window1,048,576 tokens1,000,000 tokens
Release date4/24/20268/14/2026
Input modalitiestexttext, image, video
Arena · overall#89 · ELO 1,436#87 · ELO 1,436
Arena · Japanese#75 · ELO 1,398Unranked
Arena · coding#88 · ELO 1,483#67 · ELO 1,498

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: ¥32.17 per 1M output tokens, 94% less than Qwen3.8 27B.
  • On the Overall arena board, Qwen3.8 27B ranks higher (#87; DeepSeek V4 Flash is #89).
  • On the Coding arena board, Qwen3.8 27B ranks higher (#67; DeepSeek V4 Flash is #88).
  • For long documents, DeepSeek V4 Flash: a 1,048,576-token context window against 1,000,000 for Qwen3.8 27B.
  • 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

Qwen3.8 27B

The word is: **strawberry** Break it into letters: 1. s 2. t 3. r 4. a 5. w 6. b 7. e 8. r 9. r 10. y Now count the **r**’s: - 3rd letter: **r** - 8th letter: **r** - 9th letter: **r** So, there are **3** r’s in **strawberry**.
3.6s239 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

Qwen3.8 27B

The error means that `users` is `undefined` when `UserList` renders: ```jsx {users.map(...)} ``` JavaScript cannot call `.map()` on `undefined`. For example, this would cause the error: ```jsx <UserList /> ``` because `users` is not being passed in. ## Simple fix: give `users` a default value ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` Now if `users` is not passed in, it defaults to an empty array. ## Better fix: make sure the parent passes an array Wherever you use `UserList`, pass `users`: ```jsx <UserList users={users} /> ``` If `users` comes from an API or state, make sure it…
9.5s601 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

Qwen3.8 27B

The function works at a basic level, but it has several readability, reliability, and best-practice issues. ## Main issues 1. **Imports inside the function** ```python import requests import time ``` Imports should normally be at the top of the module unless there is a specific reason to lazy-load them. 2. **Bare `except` is too broad** ```python except: time.sleep(2) ``` This catches almost everything, including `KeyboardInterrupt`, `SystemExit`, `KeyError`, `TypeError`, and other programming errors. It makes debugging harder and can retry failures that should not be retried. 3. **It retries on every non-`200` status** Retrying `401 Unauthorized`, `4…
205.9s13103 output tokens

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Frequently asked questions

Which is cheaper, DeepSeek V4 Flash or Qwen3.8 27B?
Per 1M output tokens, DeepSeek V4 Flash is ¥32.17 and Qwen3.8 27B is ¥571.84 on FastMetal (yen, before tax), so DeepSeek V4 Flash is cheaper.
How do the context windows of DeepSeek V4 Flash and Qwen3.8 27B compare?
DeepSeek V4 Flash takes 1,048,576 tokens; Qwen3.8 27B takes 1,000,000.
Which ranks higher, DeepSeek V4 Flash or Qwen3.8 27B?
DeepSeek V4 Flash ranks higher on the public arena (DeepSeek V4 Flash #75, Qwen3.8 27B #87). Ranks move as the leaderboard updates.
Can I use DeepSeek V4 Flash and Qwen3.8 27B with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4-flash" or "qwen3.8-27b" 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 Qwen3.8 27B from the browser chat and the API. No monthly fee.

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