NOUMENOpen app
NOUMEN

DeepSeek · Open weights

DeepSeek V4.1 Flash 1017 Thinking

Added Oct 17, 2026Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

The October 17, 2026 snapshot of DeepSeek V4.1 Flash supports text and image input, tool calling, and optional reasoning with low, high, and max effort. It has a shared 1,048,576-token context window and supports up to 393,216 output tokens within the remaining context. Released under the MIT license.

  • Reasoning
  • Tools
  • Vision
  • Structured output
Input
Text, Images
Output
Text
Reasoning effort
none · low · high · max
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.60
Cache read
$0.003

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
393.2K
Average output (7 days)
1.2K tokens
Longer than 78% of 465 models

Side by side

DeepSeek V4.1 Flash 1017 Thinking compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

DeepSeek V4.1 Flash 1017 ThinkingDeepSeekThis modelDeepSeek V4.1 Flash 1017DeepSeekRemove
ProviderDeepSeekDeepSeek
Discovery tierOpen weightsOpen weights
AddedOct 17, 2026Oct 17, 2026
Limits
Context window1.05M1.05M
Max output393.22K393.22K
Average output1.2K tokens465 tokens
Pricing, USD per 1M tokens
Input$0.10$0.10
Output$0.60$0.60
Cache read$0.003$0.003
Performance
Throughput230.5 tok/sBest154.0 tok/s
Time to first token2.6 s2.2 sBest
Request success (24h)99.8%Best99.7%
Benchmark indexes
Intelligence Index45.1Best24.7
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
Reasoning effortnone, low, high, maxnone, low, high, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • DeepSeek V4.1 Flash 1017 Thinking
  • DeepSeek V4.1 Flash 1017

Intelligence Index

  • DeepSeek V4.1 Flash 1017 Thinking45.1
  • DeepSeek V4.1 Flash 101724.7

DeepSeek V4.1 Flash 1017 Thinking tested at max reasoning effort

DeepSeek V4.1 Flash 1017 Thinking: Better than 91% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • DeepSeek V4.1 Flash 1017 Thinking: 66.6%Top
    • DeepSeek V4.1 Flash 1017: 47.8%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • DeepSeek V4.1 Flash 1017 Thinking: 36.7%Top
    • DeepSeek V4.1 Flash 1017: 14.2%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • DeepSeek V4.1 Flash 1017 Thinking: 1,570 EloTop
    • DeepSeek V4.1 Flash 1017: 1,118 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • DeepSeek V4.1 Flash 1017 Thinking: 1,746 EloTop
    • DeepSeek V4.1 Flash 1017: 1,340 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • DeepSeek V4.1 Flash 1017 Thinking: 17.2%Top
    • DeepSeek V4.1 Flash 1017: 3.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • DeepSeek V4.1 Flash 1017 Thinking: 82.7%Top
    • DeepSeek V4.1 Flash 1017: 55.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • DeepSeek V4.1 Flash 1017 Thinking: 26.7%
    • DeepSeek V4.1 Flash 1017: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • DeepSeek V4.1 Flash 1017 Thinking: 43.3%Top
    • DeepSeek V4.1 Flash 1017: 10.8%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • DeepSeek V4.1 Flash 1017 Thinking: 33.8%Top
    • DeepSeek V4.1 Flash 1017: 5.6%

  • SciCode

    Scientific computing in Python

    • DeepSeek V4.1 Flash 1017 Thinking: 55.9%Top
    • DeepSeek V4.1 Flash 1017: 35.5%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • DeepSeek V4.1 Flash 1017 Thinking: 82.7%Top
    • DeepSeek V4.1 Flash 1017: 55.3%

Scores from Artificial Analysis, updated Oct 26, 2026. DeepSeek V4.1 Flash 1017 Thinking was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
230.5 tok/s
Faster than 88% of 250 models
Time to first token
2.6 s
Quicker than 64% of 250 models
Prompt cache hits
92.0%
About $0.0108 per 1M input tokens with caching
Request success (24h)
99.8%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 99.4%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v4.1-flash-1017:thinking",
    "reasoning_effort": "none",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="deepseek/deepseek-v4.1-flash-1017:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

DeepSeek

Other DeepSeek models, starting with the same family.