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DeepSeek V4 Pro 0423

by DeepSeek

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe

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Models

DeepSeek V4 Pro 0423

Added 10 July 2026

#deepseek

Overview

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

Best for

Best for
Text-first reasoning and coding

How to use / API access

Call via OpenRouter with model id `deepseek/deepseek-v4-pro`.

  • openrouter · deepseek/deepseek-v4-pro Docs

OpenRouter id: deepseek/deepseek-v4-pro

Benchmarks

  • Intelligence Index (artificial-analysis): 30.4 index
  • Coding Index (artificial-analysis): 59.4 index
  • Agentic Index (artificial-analysis): 26.3 index
  • Design Arena fullstack (other): 948 elo · #43
  • Design Arena godotgamedev (other): 1059 elo · #32
  • Design Arena webapps (other): 1000 elo · #42
  • Design Arena 3d (other): 1254 elo · #30

Notes

DeepSeek V4 Pro 0423 is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Exploring a long text specification
  • text input; text output on the listed OpenRouter route

Cons

  • Sending images to this text-only catalogue route
  • Assuming open weights establishes hosting privacy or legal rights
  • Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.
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USAGE / OPENROUTER

How much DeepSeek V4 Pro 0423 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
654B ▼11%
Requests, last 7 days
27.1M
Tool calls, last 7 days
6.7M
Intelligence score
30.4
Average cost per request
79.5¢
Price per million tokens
$0.383 in · $0.767 out
0100B200B19 Sept: 100B tokens, 4.5M requests20 Sept: 91.6B tokens, 4.3M requests21 Sept: 118B tokens, 4.6M requests22 Sept: 124B tokens, 4.6M requests23 Sept: 115B tokens, 4.3M requests24 Sept: 119B tokens, 4M requests25 Sept: 109B tokens, 4.2M requests26 Sept: 78.8B tokens, 3.5M requests27 Sept: 82.2B tokens, 3.3M requests28 Sept: 110B tokens, 4.2M requests29 Sept: 107B tokens, 3.8M requests30 Sept: 102B tokens, 4M requests1 Oct: 107B tokens, 4M requests2 Oct: 110B tokens, 4.4M requests3 Oct: 96B tokens, 3.8M requests4 Oct: 98.6B tokens, 3.8M requests5 Oct: 120B tokens, 4.3M requests6 Oct: 119B tokens, 4.3M requests7 Oct: 114B tokens, 4.4M requests8 Oct: 101B tokens, 3.9M requests9 Oct: 95.6B tokens, 3.7M requests10 Oct: 88.8B tokens, 3.5M requests11 Oct: 96.5B tokens, 3.9M requests12 Oct: 102B tokens, 3.7M requests13 Oct: 109B tokens, 3.7M requests14 Oct: 107B tokens, 4.9M requests15 Oct: 96.2B tokens, 3.7M requests16 Oct: 85.5B tokens, 3.5M requests17 Oct: 67.6B tokens, 3.5M requests18 Oct: 86.5B tokens, 4.1M requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with DeepSeek V4 Pro 0423.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-10-20. Hosting routes and app features can differ.

DeveloperDeepSeek
Exact model identifierdeepseek/deepseek-v4-pro
Inputtext
Outputtext
Tool calling
Listed support
Structured output
Listed support
Reasoning controls
Listed support
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient

Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Consider it for

  • Exploring a long text specification
  • Drafting code and test plans from explicit requirements

Watch for

  • Sending images to this text-only catalogue route
  • Assuming open weights establishes hosting privacy or legal rights

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Write a pure function specification for allocating 100 cents across three equal recipients. Explain the remainder rule and give tests without importing libraries.

Check the result: Allocation sums to 100, uses integers and gives a deterministic remainder rule.

Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

deepseek/deepseek-v4-pro: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-10-20
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-20. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 30.4 (2026-10-18) ↗Coding Index: 59.4 (2026-10-18) ↗Agentic Index: 26.3 (2026-10-18) ↗
Compare this model with alternatives →