DeepSeek V4 Pro 0423
deepseek-v4-proDeepSeek 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,... Built by DeepSeek.
Prices updated
Input price
$0.29
per 1M tokens · Standard
Output price
$0.58
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
384K
tokens
Input formats
Output formats
DeepSeek V4 Pro 0423 price history
8 price records since 9/25/2026 · 6 changes
DeepSeek V4 Pro 0423 cost calculator
$8.77/month
Standard pricing
Overview
What is DeepSeek V4 Pro 0423?
DeepSeek V4 Pro 0423 is a text & reasoning model from 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 designed for advanced reasoning, coding,... Its 1M context window and $0.29 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
DeepSeek V4 Pro 0423 benchmarks & speed
How DeepSeek V4 Pro 0423 scores on standardized evaluations, and where it lands among every model we track.
36.0
Intelligence Index
110tok/s
Output speed
1244
DesignArena Elo
Reasoning
GPQA Diamond
92.8%
Graduate-level scientific reasoning · top 11%
HLE
41.0%
Humanity's Last Exam · top 19%
Coding
SciCode
51.0%
Python for scientific computing · top 47%
Latency & design
- Time to first token
- 1.67s
- DesignArena win rate
- 51.9%
- Design battles judged
- 27,267
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
DeepSeek V4 Pro 0423 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.29
Per 1M tokens
Cached input · Standard
$0.02
Per 1M tokens
Capabilities
DeepSeek V4 Pro 0423 Tools
Tools available when using DeepSeek V4 Pro 0423 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.29 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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