DeepSeek V4 Pro
Chatdeepseek/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, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks.
Providers
/v1/chat/completions/v1/responsesCode Examples
from openai import OpenAIclient = OpenAI(base_url="https://api.ofox.io/v1",api_key="YOUR_OFOX_API_KEY",)response = client.chat.completions.create(model="deepseek/deepseek-v4-pro",messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)
Uptime & Status
Benchmarks
DeepSeek V4 Pro scores 1457 in the Overall category of the LMArena text leaderboard (style control), ranking #42 of 374 models based on 41,800 human preference votes (updated 2026-07-12).
| Category | Arena Score | 95% CI | Rank | Votes |
|---|---|---|---|---|
| Overall | 1453–1462 | #42 of 374 | 41,800 | |
| Hard Prompts | 1474–1485 | #42 of 374 | 27,599 | |
| Coding | 1496–1509 | #46 of 369 | 12,300 | |
| Math | 1431–1457 | #53 of 362 | 2,278 | |
| Creative Writing | 1435–1452 | #36 of 372 | 6,799 | |
| Instruction Following | 1446–1459 | #38 of 374 | 14,048 | |
| Chinese | 1492–1521 | #26 of 344 | 2,049 |
Source: LMArena · CC BY 4.0 · Updated 2026-07-12 · Methodology ↗ · Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.