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DeepSeek V4.1 Flash 1017

by DeepSeek · Released 2026

The October 17 snapshot of DeepSeek V4.1 Flash: 1,048,576-token context window, image input, tool calling, and reasoning that you can switch off.

LLM Chat

DeepSeek V4.1 Flash 1017

Powered by DeepSeek · Undisclosed

Context Window

1M

Parameters

Undisclosed

Max Output

1M (shared with input)

Category

LLM Chat

Overview

DeepSeek V4.1 Flash 1017 is the October 17 snapshot of DeepSeek V4.1 Flash, generally available. It has a 1,048,576-token context window, accepts images alongside text, supports multi-turn tool calling (including `tool_choice: "required"`) and streams its replies.

It reasons by default at `high`. Send `reasoning_effort: "none"` to switch thinking off for the fastest replies: in our tests the first token arrived in about 0.25 to 0.6 seconds. Every other value is sent as-is; upstream runs `minimal` as `low` and `medium` and `xhigh` as `high`, and `max` is also accepted. Reasoning tokens bill as output tokens and count toward `max_tokens`; when you omit `max_tokens` we send 16,384.

Send images as base64 data URIs in the standard `image_url` content part; `https://` image URLs are fetched and inlined for you.

Pricing

MetricPrice
Input /1M tokens₹41.0000
Output /1M tokens₹170.0000

1 credit = ₹1 ≈ US$0.0104 (US$1 = ₹96). Transparent per-call pricing — you pay only for what you call, with no per-seat charge or minimums.

Key Highlights

  • 1,048,576-token context window
  • Image input and tool calling
  • Reasoning on by default, off with reasoning_effort none
  • OpenAI-compatible, with streaming

Benchmarks

BenchmarkScore
Context1M
First token~0.25-0.6s
Tool CallingYes

Technical Details

  • Context window: 1,048,576 tokens
  • Reasoning on by default (high); reasoning_effort none switches it off
  • Reasoning tokens are billed as output tokens and count toward max_tokens (16,384 sent when omitted)
  • Tool calling via OpenAI-compatible tools and tool_choice, including required
  • Text and image input; images as base64 data URIs (https URLs are inlined for you)

Strengths

  • Very large 1M context in a single request
  • Reasoning can be switched off for fast replies
  • Image input plus reliable tool calling

Limitations

  • Reasoning on by default, so set reasoning_effort none when latency matters
  • Reasoning shares the max_tokens budget: raise max_tokens or lower the effort
  • Images must be sent inline as base64 (https URLs are fetched for you)
  • Paid plans only

Use Cases

Long-document analysisAgentic workflowsTool-using agentsImage and document understanding

API Example

curl https://api.callmissed.com/v1/chat/completions \
  -H "Authorization: Bearer cm_YOUR_KEY" \
  -d '{"model": "deepseek-v4.1-flash-1017", "reasoning_effort": "none", "messages": [{"role": "user", "content": "Summarise these meeting notes"}]}'

Endpoint: POST /v1/chat/completions · Model ID: deepseek-v4.1-flash-1017

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