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DeepSeek V4 Pro

by DeepSeek · Released Apr 2026

Open Source1M Context
60.8
avg score
Rank #82
Compare
Better than 74% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.21
Output $/1M
$0.42
Type
text
License
Open Source
Benchmarks
34 tested
Data as of
About

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,...

Tested on 34 benchmarks · BenchGecko score 60.8. Top scores: Chatbot Arena Elo — Overall (1457.8%), Chatbot Arena Elo — Coding (1446.0%), OTIS Mock AIME 2024-2025 (96.7%).

Looking for similar performance at lower cost?
gpt-oss-20b (free) scores 61.0 (100% as good) at $0.00/1M input · 100% cheaper
Capabilities
coding
54.2
#73 globally
reasoning
78.6
#21 globally
math
58.8
#91 globally
knowledge
56.1
#85 globally
speed
51.3
#27 globally
general
35.2
#104 globally
language
70.2
#77 globally
Benchmark Scores
Compare All
Tested on 34 benchmarks · Ranked across 8 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
SWE-Bench verified

Real-world software engineering tasks from GitHub issues. Models must diagnose bugs and write patches that pass test suites. Human-verified subset of SWE-bench.

77.6·
LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

70.0·
LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

56.7·
LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

82.7·
LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

74.5·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

96.7·
LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

90.7·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
DeepSeek V4 Pro pricing dropped 18%
Oct 2, 2026
DeepSeek V4 Pro pricing increased 175%
Sep 28, 2026
DeepSeek V4 Pro pricing increased 126%
Sep 21, 2026
DeepSeek V4 Pro pricing increased 93%
Sep 13, 2026
DeepSeek V4 Pro pricing dropped 8%
Sep 8, 2026
DeepSeek V4 Pro pricing dropped 35%
Sep 2, 2026
Links
Documentation
Community
BenchGecko API
deepseek-v4-pro
Specifications
  • Typetext
  • Context1.0M tokens (~524 books)
  • ReleasedApr 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.001
Available On
DeepSeek logoDeepSeek$0.21
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DeepSeek V4 Pro is an open-source text AI model by DeepSeek, released in April 2026. It has an average benchmark score of 60.8. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • DeepSeek V4 Pro by DeepSeek. BenchGecko score 60.8, rank 81 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.21 input · $0.42 output per 1M tokens (as of 2026-10-05).
  • Sold by 16 providers (as of 2026-10-05): Relace (fp4) $0.21 in / $4.20 out · StreamLake (fp8) $0.21 in / $0.42 out · Parasail (fp8) $0.45 in / $3.48 out · Reka $0.81 in / $2.08 out · GMICloud (fp8) $0.96 in / $1.91 out · and 11 more. Every provider
  • Gecko Tests: Who Are You B (Knows who made it) · Tokenizer Tax D (68% more tokens outside English).

How to cite · data as of 2026-10-05

DeepSeek V4 Pro · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/deepseek-v4-pro

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP