DeepSeek V4.1 Flash

Coming soon

DeepSeek V4.1 Flash is the version currently served by DeepSeek's official deepseek-flash alias. It supports thinking and non-thinking text workflows, making it a candidate to evaluate when one application needs both direct answers and more deliberate problem solving. Keep the requested version explicit when comparing results with an earlier DeepSeek Flash release.

deepseek/deepseek-v4.1-flash

View in chatComing soon. Live requests remain unavailable until activation.

Lexelane service limits

Input / 1M tokens: $0.01875
Output / 1M tokens: $0.087
Service context: 32.8K
Input per request: 16.4K
Output per request: 4.1K
Protocols: Pending activation

Published model references list a 1M token context. The service limits above apply on Lexelane and will be verified before activation.

Cache read: $0.000435 / 1M tokens

Compare market prices

Run the numbers.

Input tokensOutput tokens

Estimated total$0.0362

Standard token estimate, before cache or any separately documented pricing tiers.

Suggested workflows

Suggested: turn an issue description and a small set of source files into a patch plan, then review the proposed changes with tests.
Suggested: extract decisions, owners and unresolved questions from meeting notes into a schema that your application validates.
Suggested: compare direct-answer and thinking settings on recurring support questions using a fixed set of expected answers.

Before you integrate

The official legacy deepseek-v4-flash alias now maps to V4.1; it does not pin the July 0731 checkpoint.

Developer model capabilities are broader than Lexelane's current text-only draft. Use the active catalog for supported protocols and request limits.

FIRST REQUEST

Ready for your code.

Create an API key

Python

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://lexelane.com/v1",
    api_key=os.environ["LEXELANE_API_KEY"],
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4.1-flash",
    messages=[{"role": "user", "content": "Hello, Lexelane."}],
    max_tokens=256,
)
print(response.choices[0].message.content)

FAQ

Good questions. Clear answers.

How should I compare prices?+

Compare input and output rates for the same model version using your own token mix. Caching, context length, service tiers, and quantization can affect comparability. Comparison pages label the date, conditions, and public market sources.

Can I use OpenAI SDKs, Codex, and Claude Code?+

The gateway provides native API interfaces. OpenAI SDKs commonly use Chat Completions, Codex needs Responses, and Claude Code needs Messages. Choose an available model with the required protocol; support for one interface does not establish compatibility with every client.

How are API keys protected?+

Full secrets are shown once at creation; the server stores hashes. Create separate keys per application, set budgets and expiry dates, and revoke access when needed. Keep keys in server environment variables.