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DeepSeek · Open weights

DeepSeek Flash Latest

Added Aug 2, 2026Open weights

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Use in the app

Moving alias for DeepSeek V4.1 Flash 1017, with text and image input, tool calling, structured output, and optional reasoning. Zero data retention and JSON Schema output are available on eligible routes; output limits and reasoning levels depend on the selected route.

  • 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

Side by side

DeepSeek Flash Latest compared

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

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DeepSeek Flash LatestDeepSeekThis modelDeepSeek V4 Flash 0423 (Thinking)DeepSeekRemove
ProviderDeepSeekDeepSeek
Discovery tierOpen weightsOpen weights
AddedAug 2, 2026Oct 7, 2026
Limits
Context window1.05M1.05M
Max output393.22K—
Average output—1.1K tokens
Pricing, USD per 1M tokens
Input$0.10Best$0.14
Output$0.60$0.28Best
Cache read$0.003Best$0.028
Performance
Throughput252.2 tok/sBest89.6 tok/s
Time to first token2.2 s1.9 sBest
Request success (24h)99.7%Best96.8%
Benchmark indexes
Intelligence Index24.7Best24.4
Coding Index—52.0
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
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 Flash Latest
  • DeepSeek V4 Flash 0423 (Thinking)

Intelligence Index

  • DeepSeek Flash Latest24.7
  • DeepSeek V4 Flash 0423 (Thinking)24.4

DeepSeek Flash Latest: Better than 60% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • DeepSeek Flash Latest: —
    • DeepSeek V4 Flash 0423 (Thinking): 52.0

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • DeepSeek Flash Latest: 47.8%Top
    • DeepSeek V4 Flash 0423 (Thinking): 28.5%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • DeepSeek Flash Latest: 14.2%Top
    • DeepSeek V4 Flash 0423 (Thinking): 8.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • DeepSeek Flash Latest: 1,118 EloTop
    • DeepSeek V4 Flash 0423 (Thinking): 1,041 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • DeepSeek Flash Latest: 1,340 EloTop
    • DeepSeek V4 Flash 0423 (Thinking): 1,000 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • DeepSeek Flash Latest: 3.8%
    • DeepSeek V4 Flash 0423 (Thinking): 10.4%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • DeepSeek Flash Latest: 55.3%
    • DeepSeek V4 Flash 0423 (Thinking): 72.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • DeepSeek Flash Latest: 10.8%
    • DeepSeek V4 Flash 0423 (Thinking): 30.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • DeepSeek Flash Latest: —
    • DeepSeek V4 Flash 0423 (Thinking): 86.7%

  • IFBench

    Following precise output instructions

    • DeepSeek Flash Latest: —
    • DeepSeek V4 Flash 0423 (Thinking): 73.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • DeepSeek Flash Latest: 5.6%Top
    • DeepSeek V4 Flash 0423 (Thinking): 3.0%

  • SciCode

    Scientific computing in Python

    • DeepSeek Flash Latest: 35.5%
    • DeepSeek V4 Flash 0423 (Thinking): 40.2%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • DeepSeek Flash Latest: —
    • DeepSeek V4 Flash 0423 (Thinking): 38.6%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • DeepSeek Flash Latest: —
    • DeepSeek V4 Flash 0423 (Thinking): 95.6%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • DeepSeek Flash Latest: 55.3%
    • DeepSeek V4 Flash 0423 (Thinking): 72.0%Top

Scores from Artificial Analysis, updated Oct 26, 2026. 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
252.2 tok/s
Faster than 90% of 254 models
Time to first token
2.2 s
Quicker than 71% of 254 models
Prompt cache hits
90.2%
About $0.0125 per 1M input tokens with caching
Request success (24h)
99.7%
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 98.5%
  • 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-flash-latest",
    "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-flash-latest",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

DeepSeek

Other DeepSeek models, starting with the same family.