Model comparison

DeepSeek V4.1 Flash vs Gemini 3.7 Flash

Pricing, context window and real answers (October 2026)

DeepSeek V4.1 Flash (DeepSeek) and Gemini 3.7 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 V4.1 Flashgoogle logoGemini 3.7 Flash
ProviderDeepSeekGoogle
Input (per 1M tokens)$0.211$0.7913
Output (per 1M tokens)$0.633$3.96
Typical cost (1,000 in + 500 out tokens × 1,000 calls)$0.5275$2.77
Context window1,048,576 tokens1,048,576 tokens
Release date9/10/20268/13/2026
Input modalitiestext, imagetext, image, video, file, audio
Throughput (p50)194 tokens/s (n=27)966 tokens/s (n=27)
Arena · overall#34 · ELO 1,476#16 · ELO 1,490
Arena · Japanese#37 · ELO 1,453#4 · ELO 1,513
Arena · coding#30 · ELO 1,523#36 · ELO 1,520

Prices are FastMetal's rates, before tax.

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-22; category names mapped and ratings rounded by FastMetal.

Which should you pick?

  • On price, DeepSeek V4.1 Flash: $0.633 per 1M output tokens, 84% less than Gemini 3.7 Flash.
  • On the Overall arena board, Gemini 3.7 Flash ranks higher (#16; DeepSeek V4.1 Flash is #34).
  • On the Japanese arena board, Gemini 3.7 Flash ranks higher (#4; DeepSeek V4.1 Flash is #37).
  • On the Coding arena board, DeepSeek V4.1 Flash ranks higher (#30; Gemini 3.7 Flash is #36).
  • 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 V4.1 Flash

The word **“strawberry”** has **3** letter **“r”**s. Step-by-step: 1. Spell it out: **s t r a w b e r r y** 2. Find each **r**: - Position 3: **r** in “str” - Position 8: first **r** in “berry” - Position 9: second **r** in “berry” 3. Total: **3** **Answer: 3**
7.5s226 output tokens

Gemini 3.7 Flash

There are **3** 'r's in the word "strawberry". ### Step-by-step reasoning: 1. **Break down the word into individual letters:** * 1st letter: **s** * 2nd letter: **t** * 3rd letter: **r** *(1st 'r')* * 4th letter: **a** * 5th letter: **w** * 6th letter: **b** * 7th letter: **e** * 8th letter: **r** *(2nd 'r')* * 9th letter: **r** *(3rd 'r')* * 10th letter: **y** 2. **Identify the positions of 'r':** * The 3rd letter is an **r** (in "st**r**aw"). * The 8th letter is an **r** (in "be**r**ry"). * The 9th letter is an **r** (in "ber**r**y"). 3. **Total count:** 1 + 1 + 1 = **3**.
4.5s530 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 V4.1 Flash

The error means that `users` is `undefined` when `UserList` renders, so JavaScript cannot call `.map()` on it. Your component expects a `users` prop: ```jsx function UserList({ users }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` But it is being rendered without `users`, or `users` has not loaded yet. Common causes: 1. Parent renders it without the prop: ```jsx <UserList /> ``` instead of: ```jsx <UserList users={users} /> ``` 2. The prop name is different: ```jsx <UserList userList={users} /> ``` 3. The data is fetched asynchronously and is initially `undefined`: ```jsx const [users, setUsers] = useState(); useEffect(…
16.0s945 output tokens

Gemini 3.7 Flash

### Why This Error Happens This error occurs because the `users` prop is `undefined` when the component renders. Since `map` is an Array method, calling `undefined.map()` causes JavaScript to throw a `TypeError`. This usually happens when: 1. Data is being fetched asynchronously (e.g., via `fetch` or `axios`), and the component renders **before** the data has arrived. 2. The parent component forgot to pass the `users` prop (`<UserList />`). 3. The initial state in the parent component was initialized as `undefined` (e.g., `const [users, setUsers] = useState()`). --- ### How to Fix It Here are the best ways to fix it, depending on your use case: #### Solution 1: Default Parameter (Recom…
9.9s1355 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 V4.1 Flash

Here are the main improvements: - Move imports to module level. - Avoid bare `except`; catch specific exceptions. - Use a `requests.Session` for connection reuse. - Retry only transient network/HTTP failures, not all errors. - Use exponential backoff and don’t sleep after the final attempt. - Use a list comprehension for readability/performance. - Add type hints, logging, constants, and basic JSON validation. - Avoid `== True`; use `is True` or a truthy check depending on API contract. Example refactor: ```python from __future__ import annotations import logging import time from typing import Any import requests logger = logging.getLogger(__name__) TIMEOUT = (3.05, 10) # connect time…
31.5s5142 output tokens

Gemini 3.7 Flash

Here is a detailed review of your function, followed by refactored versions. --- ### Key Issues & Areas for Improvement 1. **Imports inside the function (PEP 8):** Imports should be placed at the top of the file, not inside a function, to avoid repeated import overhead and improve readability. 2. **Bare `except:` clause (Anti-pattern):** Catching everything with `except:` intercepts `KeyboardInterrupt`, `SystemExit`, and memory errors, making debugging difficult. Catch specific exceptions like `requests.RequestException` and `ValueError` (for JSON decoding). 3. **Retrying on non-retryable errors:** A status code like `404 Not Found` or `401 Unauthorized` will never succeed on a…
13.2s2117 output tokens

Compare on more prompts →

Frequently asked questions

Which is cheaper, DeepSeek V4.1 Flash or Gemini 3.7 Flash?
Per 1M output tokens, DeepSeek V4.1 Flash is $0.633 and Gemini 3.7 Flash is $3.96 on FastMetal (US dollars, before tax), so DeepSeek V4.1 Flash is cheaper.
How do the context windows of DeepSeek V4.1 Flash and Gemini 3.7 Flash compare?
DeepSeek V4.1 Flash takes 1,048,576 tokens; Gemini 3.7 Flash takes 1,048,576.
Which ranks higher, DeepSeek V4.1 Flash or Gemini 3.7 Flash?
Gemini 3.7 Flash ranks higher on the public arena (DeepSeek V4.1 Flash #37, Gemini 3.7 Flash #4). Ranks move as the leaderboard updates.
Can I use DeepSeek V4.1 Flash and Gemini 3.7 Flash with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4.1-flash" or "gemini-3.7-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 V4.1 Flash and Gemini 3.7 Flash from the browser chat and the API. No monthly fee.

More comparisons with DeepSeek V4.1 Flash

More comparisons with Gemini 3.7 Flash