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DeepSeek · Open weights

DeepSeek V4 Flash 0423

Added Oct 7, 2026Open weights

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Use in the app

The original 0423 checkpoint of DeepSeek V4 Flash, with a 1M-token context window, text input, tool calling, structured output, and optional reasoning.

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

Pricing

USD per 1M tokens
Input
$0.14
Output
$0.28
Cache read
$0.028

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
—
Average output (7 days)
245 tokens
Longer than 26% of 465 models

Side by side

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TryLongCat 2.0 ThinkingGLM 4.6 Turbo (Thinking)GPT 5.4All 3

Public evaluations

Benchmarks

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

Intelligence Index

18.9

Better than 48% of 326 scored models

3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    41.7%

    Reasoning across long documents

    Better than 19% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    7.8%

    Expert-level questions across academic fields

    Better than 27% of 323 scored models

  • GPQA Diamond

    71.6%

    Graduate-level science questions

    Better than 30% of 291 scored models

  • IFBench

    47.2%

    Following precise output instructions

    Better than 43% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    34.1%

    Earlier terminal task suite

    Better than 66% of 212 scored models

  • τ²-Bench Telecom

    94.4%

    Tool use in a customer-support simulation

    Better than 85% of 214 scored models

  • AA-LCR (unversioned)

    41.7%

    Long-context reasoning, earlier grading

    Better than 19% of 309 scored models

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
104.0 tok/s
Faster than 61% of 250 models
Time to first token
2.4 s
Quicker than 68% of 250 models
Prompt cache hits
91.8%
About $0.0371 per 1M input tokens with caching
Request success (24h)
98.3%
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 91.3%
  • 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-0423",
    "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-0423",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

DeepSeek

Other DeepSeek models, starting with the same family.