DeepSeek V4.1 Flash

deepseek-v4.1-flashby DeepSeekZDR enforceable≈2.8M tokens/hour free

Compare Open in Playground

Context

1.05M

Max output

393K

Pricing

$0.30/M in$0.006/M cached$1.20/M out

Waterfall

Supported parameters

primary route

Sampling

Temperature0–2Top-p0.01–1Top-k*Stop sequences

Tools & structure

Tools

											Status
DeepSeek via Experiential Cloudfree tier	552 tok/s	2.21s	86.2%	1.05M	393K	Free	Free	Free	—	—	active	measured
DeepSeek via Experiential Cloudexperiential	552 tok/s	2.21s	86.2%	1.05M	393K	$0.30	$1.20	cache$0.006	—	—	active	measured
Novita via Experiential Cloudexperiential	—	—	—	1.05M	393K	$0.30	$1.20	cache$0.006	—	ZDR	active	estimated

not supported on every route; the gateway adapts or drops it (with a warning) on stricter providers.

Shown for the primary route; fallback routes may differ. Sending an unsupported field? See error reference.

Quickstart

I want you to route my LLM calls for "deepseek-v4.1-flash" through the Experiential gateway instead of
calling the provider directly. It speaks the OpenAI Chat Completions API, so this is a base-URL
and key swap. Please:

1. Point the client at https://api.staging.experientiallabs.ai/v1 as the base URL.
2. Authenticate with my Experiential API key from the EXPLABS_API_KEY environment variable. If
   it isn't set, stop and tell me to create one under Settings -> API Keys and export it.
3. Use the model id "deepseek-v4.1-flash" exactly.
4. Update every place my code builds an LLM client for this model to use that base URL and key,
   leaving streaming and tool-calls as they are.
5. Make one test call and show me the reply plus the token usage, so we confirm it runs on my
   Experiential credits.

Tell me which files you changed.

Set EXPLABS_API_KEY to an organization API key before running your agent.