MCP / Models / Language models

DeepSeek V4.1 Flash MCP: low-cost reasoning with no API key

DeepSeek V4.1 Flash is DeepSeek's fast, low-cost reasoning model for code, agents and tool calls, with image input and an optional priority tier. Run it from Claude Code, Codex, Cursor or any MCP client through one FlyMy.AI MCP, or call its API.

Use DeepSeek V4.1 FlashInputs and price
No API key$0.30 / $1.20 per 1M tokensChat modelDeepSeekCommercial use
DeepSeek V4.1 Flash sample from the FlyMy.AI catalog

$ YOUR NEXT RUN

Claude CodeCodexCursorAny agent

Use DeepSeek V4.1 Flash in your assistant

Paste this prompt into Claude Code, Codex, Cursor or any agent. It reads the guide and helps you connect.

Read https://flymy.ai/skill.md and https://flymy.ai/mcp/models/deepseek-v4-1-flash.md. Help me connect the FlyMy.AI MCP to this assistant, then run DeepSeek V4.1 Flash (flymyai/deepseek-v4_1-flash) for this task: Ask DeepSeek V4.1 Flash: write unit tests for this Python module.
Open FlyMy.AIDownload brief

What DeepSeek V4.1 Flash does

Send a prompt, or a chat history in messages (images go in as image_url parts), and get a text answer. reasoning_effort runs from none to high, service_tier priority buys faster serving, and private_mode keeps the prompt and answer out of FlyMy.AI storage and logs. Through the OpenAI-compatible endpoint it also calls your function tools.

DeepSeek V4.1 Flash inputs

Every input of flymyai/deepseek-v4_1-flash as its live schema lists them. Returns output (string), finish_reason (string), service_tier (string), reasoning (string), stream_details (string).

InputType, values and default
# prompt
string required What to ask DeepSeek
# messages
string optional Chat history as a JSON array of {role, content}; used instead of the prompt
# system_prompt
string optional Instructions for the whole chat
# reasoning_effort
string optional Allowed: none, minimal, low, medium, high Default: medium How hard it thinks before answering; none answers at once
# service_tier
string optional Allowed: default, priority Default: default priority: the fastest serving, at the priority price
# max_tokens
integer optional Allowed: 1 to 131072 Most tokens to generate, reasoning included
# temperature
number optional Allowed: 0 to 2
# top_p
number optional Allowed: 0 to 1
# private_mode
boolean optional Default: false Keep the prompt and the answer out of FlyMyAI storage and logs (synchronous requests only)

Ask your agent

Requests to paste as they are, once the FlyMy.AI MCP is connected.

“Ask DeepSeek V4.1 Flash: write unit tests for this Python module.”runs flymyai/deepseek-v4_1-flash
“Compare these two product specs in a table with DeepSeek V4.1 Flash.”runs flymyai/deepseek-v4_1-flash
“With DeepSeek V4.1 Flash, rewrite this landing page paragraph to be shorter and clearer.”runs flymyai/deepseek-v4_1-flash

DeepSeek V4.1 Flash price

$0.30 per 1M input tokens, $1.20 per 1M output tokens, cached input $0.006 per 1M. Cached input is $0.006 per 1M tokens. Billed to your FlyMy.AI balance; no seats, no subscription and no minimum.

See usage pricing →

Call DeepSeek V4.1 Flash from code

The same model, from an agent or from your own code. Keys stay in your FlyMy.AI account.

From an agent, through the MCP

The agent calls get_model_schema, then run_model with:

{
  "endpoint_id": "flymyai/deepseek-v4_1-flash",
  "input": {
    "prompt": "Explain in two sentences what an MCP server is."
  }
}

From your code, over HTTP

Form fields, not JSON; files go as uploads or public URLs. Text models answer on the streaming route.

curl -X POST https://api.flymy.ai/api/v1/flymyai/deepseek-v4_1-flash/predict/stream/ \
  -H "X-API-KEY: $FLYMYAI_API_KEY" \
  -F 'prompt=Explain in two sentences what an MCP server is.'

With the OpenAI SDK

DeepSeek V4.1 Flash also answers the OpenAI Chat Completions protocol.

from openai import OpenAI

client = OpenAI(base_url="https://api.flymy.ai/api/v1/flymyai/deepseek-v4_1-flash/openai/v1", api_key="YOUR_FLYMYAI_KEY")
reply = client.chat.completions.create(
    model="flymyai/deepseek-v4_1-flash",
    messages=[{"role": "user", "content": "Explain in two sentences what an MCP server is."}],
)
print(reply.choices[0].message.content)

Questions about DeepSeek V4.1 Flash

Do I need a DeepSeek API key for DeepSeek V4.1 Flash?

No. DeepSeek V4.1 Flash runs on FlyMy.AI's account, so you need no DeepSeek key or plan: sign in to FlyMy.AI once and each run is billed to your FlyMy.AI balance.

How much does DeepSeek V4.1 Flash cost?

$0.30 per 1M input tokens, $1.20 per 1M output tokens, cached input $0.006 per 1M. There is no subscription or minimum; the price comes from FlyMy.AI billing and was checked on 2026-11-09.

How do I use DeepSeek V4.1 Flash in Claude Code, Codex or Cursor?

Add the FlyMy.AI MCP with one command and sign in, then ask in plain words, for example: "Ask DeepSeek V4.1 Flash: write unit tests for this Python module." Your agent reads the inputs with get_model_schema and runs flymyai/deepseek-v4_1-flash with run_model.

What does DeepSeek V4.1 Flash need as input?

DeepSeek V4.1 Flash requires prompt; it also takes 8 optional inputs, each listed on this page with its allowed values and default.

Can I call DeepSeek V4.1 Flash from my own code?

Yes. Send form fields to https://api.flymy.ai/api/v1/flymyai/deepseek-v4_1-flash/predict/stream/ with your FlyMy.AI API key in the X-API-KEY header; it also answers the OpenAI Chat Completions protocol at https://api.flymy.ai/api/v1/flymyai/deepseek-v4_1-flash/openai/v1.

Go to the source

DeepSeek V4.1 Flash in the playground →DeepSeek V4.1 Flash guide in the docs →Model endpoints in the docs →Language models guide →Every model on FlyMy.AI →Every MCP in the catalog →Usage pricing →

From the FlyMy.AI model catalog of 2026-11-09: inputs from the model's live schema, prices from FlyMy.AI billing. Requests are examples to paste, not recorded runs.