Intelligence index
Outperforms 78% of compared models
DeepSeek V4 Pro 0423
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, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks.
Built on the same architecture as DeepSeek V4 Flash, it introduces a hybrid attention system for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for complex workloads such as full-codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are critical
- Input / output price
- $0.8754/$1.75per 1M tokens
- Context
- 1.0M
- Released
- 2026-04-24
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 70% of compared models
Agentic index
Outperforms 66% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
3D
1251Elo
Win rate 56.8%
Game Development
1229Elo
Win rate 52.3%
Asciiart
1146Elo
Win rate 46.4%
Code Categories
1239Elo
Win rate 51.9%
Website
1233Elo
Win rate 50.5%
UI Component
1216Elo
Win rate 50.6%
SVG
1136Elo
Win rate 45.4%
Data Visualization
1203Elo
Win rate 48.7%
Agent Arena
Godotgamedev
1059Elo
Win rate 34%
Fullstack
948Elo
Win rate 22.1%
Webapps
1000Elo
Win rate 26.4%
Related Models
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- Context
- 1.0M
- Max output
- 393.2K
- Released
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- Input
- $0.15/M
- Output
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- Cache read
- $0.003/M
DeepSeek V4 Pro 0813
deepseekDeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
- Context
- 1.0M
- Max output
- 393.2K
- Released
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- Input
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- Output
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- Cache read
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DeepSeek V4 Flash Vision Exp
deepseekDeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total. It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images.
- Context
- 1.0M
- Max output
- 262.1K
- Released
- 2026-08-21
- Input
- $0.216/M
- Output
- $0.647/M
- Cache read
- $0.0069/M