DeepSeek

DeepSeek V4 Pro 0423

deepseek/deepseek-v4-pro
Model weightsReleased Apr 24, 2026MIT
ThinkingToolsopen weights

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,...

Cost / 1M tokens

Low usage

$0.875

input

$0.073

cached input

$1.75

output

Context Window

1M

Up to 384K max output

Modalities

text → text

DeepSeek tokenizer

Quickstart & API

deepseek/deepseek-v4-pro
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

ReasoningCodingOpen source

Recommended Workloads in ChatOSS

  • Software engineering
  • Coding assistants
  • Self-hosted AI
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How DeepSeek V4 Pro 0423 compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
DeepSeek V4 Pro 0423DeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro
Benchmark (Metric)DeepSeek V4 Pro 0423DeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)45.6%63.2%58.3%65%74.1%
SWE-Bench Verified (%)77.4%91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)62.8%77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)82.3%87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)11.11%42.3%42%46.2%65.2%
Code Migration (%)26.2%45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)30.439.544.855.157.6
Input Price (/ 1M tokens)$0.875$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$1.75$0.60$4.40$10.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

45.6%

SWE-Bench Verified

Vals AI · Terminus 2

77.4%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

62.8%

Vibe Code Bench v1.1

Vals.ai · OpenHands

82.3%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

11.11%

Terminal-Bench 2.1

Vals.ai · Terminus 2

50.19%

Code Migration

Vals.ai · Vals evaluation harness

26.2%

Artificial Analysis Intelligence Index

Artificial Analysis

30.4

Design Arena: FULLSTACK

Design Arena · Rank #43 (22.1% win)

948 Elo

Design Arena: GODOTGAMEDEV

Design Arena · Rank #32 (34% win)

1059 Elo

Design Arena: WEBAPPS

Design Arena · Rank #45 (26.4% win)

1000 Elo

Design Arena: 3D

Design Arena · Rank #32 (56.8% win)

1251 Elo

Active Provider Endpoints (15)

Upstream inference providers serving DeepSeek V4 Pro 0423, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
StreamLakecache
streamlake/fp8
$0.875$1.75$0.0731M384Kfp8100.0%
Baiducache
baidu/fp8
$0.877$1.75$0.0731M393Kfp899.9%
Relacecache
relace/fp4
$0.90$1.50$0.251M393Kfp4100.0%
GMICloudcache
gmicloud/fp8
$0.957$1.91$0.081M944Kfp899.7%
DigitalOceancache
digitalocean
$1.04$2.09$0.2091M384K—100.0%
Cloudflarecache
cloudflare
$1.15$2.55$0.201M944K—99.4%
DeepInfracache
deepinfra/fp8
$1.30$2.60$0.101M16Kfp8100.0%
Alibabacache
alibaba/fp8
$1.42$2.83$0.1181M393Kfp898.6%
SiliconFlowcache
siliconflow/fp8
$1.50$3.13$0.1351M393Kfp899.7%
Alibabacache
alibaba/fp8/us-east-1
$1.56$3.12$0.131M393Kfp8100.0%
Novitacache
novita/fp8
$1.60$3.20$0.1351M393Kfp899.1%
Venicecache
venice
$1.65$3.30$0.331M33K—100.0%
AtlasCloudcache
atlas-cloud/fp4
$1.68$3.38$0.131M393Kfp499.2%
Crusoecache
crusoe/fp8
$1.74$3.48$0.151M944Kfp896.6%
Azurecache
azure/us
$1.91$3.83$0.161M384K—100.0%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

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