How much does the DeepSeek V4.1 Flash 1017 API cost?

On FastMetal, DeepSeek V4.1 Flash 1017 is billed per token: $0.211 per 1M input tokens and $0.633 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.

Can I call DeepSeek V4.1 Flash 1017 with the OpenAI SDK?

Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "deepseek-v4.1-flash-1017" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.

What is the context window of DeepSeek V4.1 Flash 1017?

1,048,576 tokens, shared between the prompt and the response.

What do I need to try DeepSeek V4.1 Flash 1017?

Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Back to Models

DeepSeek

deepseek-v4.1-flash-1017

DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...

10/17/2026

1,048,576 tokens

Input: $0.211/M

Output: $0.633/M

Try in Chat Get API Key

Specifications

Modalities

Input

text

image

Output

text

Supported Parameters

frequency_penalty

include_reasoning

logit_bias

logprobs

max_completion_tokens

max_tokens

min_p

parallel_tool_calls

presence_penalty

reasoning

reasoning_effort

repetition_penalty

response_format

seed

stop

structured_outputs

temperature

tool_choice

tools

top_k

top_logprobs

top_p

Max Output Tokens

393,216

Reasoning Configuration

Default: Thinking on (effort: high)
Selectable effort levels: max
high
low
none
Turning thinking off: Possible (reasoning.enabled: false)

How to control thinking, and what it costs

Data policy

Prompt retention: Unknown — we could not confirm
Training: Not used for training

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Code Examples

curl https://api.fastmetal.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "deepseek-v4.1-flash-1017",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How DeepSeek V4.1 Flash 1017 actually answers

Real responses to our standard prompts, recorded on FastMetal.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

Let’s go step by step. 1. The word is **"strawberry"**. 2. Spell it out letter by letter: s - t - r - a - w - b - e - r - r - y 3. Now, identify the letter **"r"**: - 3rd letter: **r** → 1st r - 8th letter: **r** → 2nd r - 9th letter: **r** → 3rd r 4. No other letters are "r". **Total number of 'r's = 3**. \[ \boxed{3} \]

3.2s response143 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…

# The Error Explained The `TypeError: Cannot read properties of undefined (reading 'map')` means that **`users` is `undefined`** when your component runs, so calling `.map()` on it fails. This typically happens because: 1. **The `users` prop isn't being passed in** — the component is rendered as `<UserList />` (or `<UserList users={undefined} />`) somewhere. 2. **The data hasn't loaded yet** — `users` comes from an API call, but the first render happens before the data arrives (initial state is `undefined`). 3. **A typo/prop-name mismatch** — e.g., parent passes `userList` but child expects `users`. The component at `/app/components/UserList.js:12` assumes `users` is always an array, but…

9.5s response680 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):…

# Code Review: `get_data` Here's a breakdown of issues and suggested improvements, followed by a refactored version. ## Issues ### Readability 1. **Imports inside the function** — `import requests` and `import time` execute on every call. Move them to module level. 2. **`== True` comparison** — Just use `if item["active"]:`. More Pythonic. 3. **Magic numbers** — `timeout=10`, `sleep(2)`, `retries=3` are unexplained. Extract as named constants or parameters. 4. **No docstring** — Purpose, parameters, return value, and behavior (returns `[]` on failure) are undocumented. 5. **Non-descriptive names** — `r`, `i`, `data`, `result` could be clearer. 6. **Silent failure** — Returns `[]` on failu…

15.8s response1483 output tokens

Compare these answers side by side with other models →

Frequently asked questions

How much does the DeepSeek V4.1 Flash 1017 API cost?: On FastMetal, DeepSeek V4.1 Flash 1017 is billed per token: $0.211 per 1M input tokens and $0.633 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
Can I call DeepSeek V4.1 Flash 1017 with the OpenAI SDK?: Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "deepseek-v4.1-flash-1017" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
What is the context window of DeepSeek V4.1 Flash 1017?: 1,048,576 tokens, shared between the prompt and the response.
What do I need to try DeepSeek V4.1 Flash 1017?: Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.