Model comparison

DeepSeek V4 Flash vs Gemini 3.8 Flash

Pricing, context window and real answers (September 2026)

DeepSeek V4 Flash (DeepSeek) and Gemini 3.8 Flash (Google), 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 Flashgoogle logoGemini 3.8 Flash
ProviderDeepSeekGoogle
Input (per 1M tokens)¥22.85¥128.83
Output (per 1M tokens)¥49.21¥644.15
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥47¥451
Context window1,048,576 tokens1,048,576 tokens
Release date4/24/20269/2/2026
Input modalitiestexttext, image, video, file, audio
Arena · overall#91 · ELO 1,436#8 · ELO 1,494
Arena · Japanese#75 · ELO 1,397Unranked
Arena · coding#90 · ELO 1,483#7 · ELO 1,537

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, 92% less than Gemini 3.8 Flash.
  • On the Overall arena board, Gemini 3.8 Flash ranks higher (#8; DeepSeek V4 Flash is #91).
  • On the Coding arena board, Gemini 3.8 Flash ranks higher (#7; DeepSeek V4 Flash is #90).
  • 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

Gemini 3.8 Flash

There are **3** 'r's in the word "strawberry". Here is the step-by-step breakdown: 1. **Break the word into its individual letters:** * **s** (1st letter) * **t** (2nd letter) * **r** (3rd letter) — **1st 'r'** * **a** (4th letter) * **w** (5th letter) * **b** (6th letter) * **e** (7th letter) * **r** (8th letter) — **2nd 'r'** * **r** (9th letter) — **3rd 'r'** * **y** (10th letter) 2. **Count the occurrences:** * One 'r' is in the first syllable: "st**r**aw" * Two 'r's are in the second syllable: "be**rr**y" Total: **3**
3.9s562 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

Gemini 3.8 Flash

### The Cause This error occurs because the `users` prop is `undefined` when the component renders, and JavaScript cannot call `.map()` on `undefined`. This typically happens in two common scenarios: 1. **Asynchronous data fetching:** The parent component fetches `users` from an API. On the initial render, the data hasn't arrived yet, so `users` defaults to `undefined`. 2. **Missing prop:** The parent component forgot to pass `users` (e.g., `<UserList />` instead of `<UserList users={data} />`). --- ### How to Fix It Here are the most common ways to resolve this: #### Option 1: Provide a default parameter (Recommended) Set a default value of an empty array (`[]`) for `users`. If `users…
7.1s1003 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

Gemini 3.8 Flash

Here is a code review of your function, broken down by issue category, followed by refactored versions. --- ### Key Issues & Areas for Improvement #### 1. Correctness & Error Handling * **Bare `except:` clause:** Catching all exceptions with a bare `except:` is dangerous. It suppresses system exits (`KeyboardInterrupt`, `SystemExit`) and masks programming bugs (like `KeyError` or `NameError`). You should catch specific exceptions, primarily `requests.RequestException`. * **Silent failure returning `[]`:** If all retries fail, returning an empty list makes it impossible for the caller to distinguish between *"the API returned 0 active items"* and *"the network is completely down"*. It is u…
15.1s2139 output tokens

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Frequently asked questions

Which is cheaper, DeepSeek V4 Flash or Gemini 3.8 Flash?
Per 1M output tokens, DeepSeek V4 Flash is ¥49.21 and Gemini 3.8 Flash is ¥644.15 on FastMetal (yen, before tax), so DeepSeek V4 Flash is cheaper.
How do the context windows of DeepSeek V4 Flash and Gemini 3.8 Flash compare?
DeepSeek V4 Flash takes 1,048,576 tokens; Gemini 3.8 Flash takes 1,048,576.
Which ranks higher, DeepSeek V4 Flash or Gemini 3.8 Flash?
Gemini 3.8 Flash ranks higher on the public arena (DeepSeek V4 Flash #75, Gemini 3.8 Flash #8). Ranks move as the leaderboard updates.
Can I use DeepSeek V4 Flash and Gemini 3.8 Flash with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4-flash" or "gemini-3.8-flash" 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 Gemini 3.8 Flash from the browser chat and the API. No monthly fee.

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