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GETLLMS.ORG

🚀Function Overview

Use the hosted model for coding, reasoning, image understanding and agent workflows, or evaluate the dated 1017 open checkpoint on suitable inference hardware. DeepSeek reports stronger results and shorter tasks than September V4.1; these are vendor claims, not an independent test.

Key Features

  • Current direct API ID deepseek-flash serves DeepSeek-V4.1-Flash-1017; the ID does not pin a checkpoint
  • Legacy deepseek-v4-flash and deepseek-v4-flash-vision-exp IDs temporarily route to this model
  • 1M context and up to 384K output; the output ceiling is not the default request budget
  • Text and image input with text output
  • Thinking and non-thinking modes with low, high and max effort behavior
  • JSON output, tool calls, Responses API and Anthropic-compatible Messages
  • 552B-parameter backbone with about 8B active during input prefill and 16B during output decode
  • Current MIT-licensed checkpoint deepseek-ai/DeepSeek-V4.1-Flash-1017; September weights retain their separate identity
  • Off-peak pricing of $0.003 cache-hit input, $0.15 cache-miss input and $0.60 output per 1M tokens
  • Peak pricing of $0.006 cache-hit input, $0.30 cache-miss input and $1.20 output per 1M tokens
  • Account concurrency limit of 2,500 requests
  • DeepSeek recommends Harness v0.2.1-rc.1 or later for the updated model
  • Search and Fetch are separate APIs at $0.75 per 1,000 successful calls each; their charges are additional to model tokens

Use Cases

  • •Cost-sensitive long-context coding and agent sessions
  • •Screenshot, chart and document understanding inside tool-using workflows
  • •Responses- or Anthropic-compatible agent integrations
  • •Structured JSON and function-calling applications
  • •Self-hosted research and inference on suitable multi-GPU or distributed hardware
  • •Migration from the retired V4 Flash and Vision Exp endpoints

⚙️Input Parameters

model

string

For POST https://api.deepseek.com/chat/completions, use deepseek-flash; DeepSeek identifies the current backend as V4.1-Flash-1017.

messages

array

Chat Completions messages with role and content. A text string supports text-only requests; actual image requests require the documented image content blocks.

thinking

object

Optional type enabled or disabled; thinking is enabled by default.

reasoning_effort

string

none disables thinking; low, high and max enable it. Default high. Use the chosen API protocol's documented field shape.

max_tokens

integer

Optional output budget from 1 to 393,216 (384K), within the total context budget. Defaults: 8K non-thinking, 64K thinking, 128K at max effort.

tools

array

Optional function-tool definitions for Chat Completions; the caller executes supplied functions. Standalone Search/Fetch have separate documented endpoints.

💡Usage Examples

Example 1

Input Parameters

{
  "model": "deepseek-flash",
  "messages": [
    {
      "role": "user",
      "content": "Write a Python function that returns the unique items in a list while preserving their original order. Include two edge-case tests."
    }
  ],
  "thinking": {
    "type": "enabled"
  },
  "reasoning_effort": "high",
  "max_tokens": 4096
}

Output Results

Illustrative request for POST https://api.deepseek.com/chat/completions; not executed by GetLLMs. Expect a Chat Completions response containing the generated answer in choices, not a measured quality or latency result.

Quick Actions

Technical Specifications

Hardware Type
DeepSeek API or large-scale self-hosted inference
Commercial Use
Supported
Pricing
Off-peak: $0.003/1M cache-hit input, $0.15/1M cache-miss input, $0.60/1M output; peak: $0.006, $0.30 and $1.20 respectively