deepseek/deepseek-v4-pro
deepseek/deepseek-v4-pro
1,048,576 context · $1.84/M input tokens · $3.66/M output tokens
DeepSeek V4 Pro is DeepSeek's flagship open-source model released in April 2026, featuring a 1.6T-parameter Mixture-of-Experts architecture with 49B parameters active per token. It supports a 1M-token context window through a novel hybrid attention mechanism combining Compressed Sparse Attention and DeepSeek Sparse Attention, reducing inference FLOPs to 27% and KV cache to 10% compared to V3.2 at million-token scale. Pre-trained on 33T tokens with post-training via GRPO reinforcement learning and on-policy distillation, V4 Pro delivers frontier-level performance in coding (LiveCodeBench 93.5, Codeforces 3206), math (IMOAnswerBench 89.8), and agentic tasks (SWE-bench Verified 80.6) — competitive with GPT-5.4 and Claude Opus 4.6 at a fraction of the cost. It natively supports thinking and non-thinking modes with configurable reasoning effort, function calling, JSON output, and has been specifically optimized for mainstream agent frameworks including Claude Code, OpenClaw, and OpenCode.
Fiyatlandırma
Kullandıkça öde
Ön ödeme yok, yalnızca kullandığınız kadar ödeyin
API Kullanımı
API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4-pro",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Tanıtımı
Deepseek deepseek-v4-pro
DeepSeek-V4-Pro is DeepSeek's most powerful open-source model, released on April 24, 2026. It is a 1.6 trillion parameter Mixture-of-Experts (MoE) language model with 49B active parameters, pre-trained on 33T tokens, supporting a context length of one million tokens. V4-Pro achieves performance on par with top closed-source models like GPT-5.4 and Claude Opus 4.6 across coding, reasoning, and agentic benchmarks — at a fraction of the cost.
Why It Looks Great
- Mixture-of-Experts architecture with 1.6T total parameters and only 49B active for efficient inference
- 1000000 context window powered by Compressed Sparse Attention (CSA) and DeepSeek Sparse Attention (DSA)
- World-class agentic capabilities — optimized for Claude Code, OpenClaw, OpenCode, and CodeBuddy
Key Features
- Context Window: 1000000 tokens
- Max Output: 384000 tokens
- Vision: Not Supported
- Function Calling: Supported
- Thinking Mode: Supported (non-thinking / high / max)
- JSON Output: Supported
- FIM Completion: Supported (non-thinking mode only)
Benchmarks
| Benchmark | V4-Pro | Claude Opus 4.6 | GPT-5.4 | Gemini 3.1 Pro |
|---|---|---|---|---|
| SWE-bench Verified | 80.6 | 80.8 | — | 80.6 |
| LiveCodeBench | 93.5 | 88.8 | 91.7 | 91.7 |
| Codeforces Rating | 3206 | — | 3168 | 3052 |
| MMLU-Pro | 87.5 | 89.1 | 87.5 | 91.0 |
| IMOAnswerBench | 89.8 | 75.3 | 91.4 | 81.0 |
| Terminal Bench 2.0 | 67.9 | 65.4 | 75.1 | 68.5 |
| Toolathlon | 51.8 | 47.2 | 54.6 | 48.8 |
| BrowseComp | 83.4 | 83.7 | — | 85.9 |
Specifications
| Specification | Value |
|---|---|
| Provider | Deepseek |
| Model Type | Large Language Model (LLM) |
| Architecture | Mixture-of-Experts (MoE) |
| Total Parameters | 1.6T (49B active) |
| Context Window | 1000000 tokens |
| Max Output | 384000 tokens |
| Input | Text |
| Output | Text |
| Vision | Not Supported |
| Function Calling | Supported |
| Thinking Mode | Supported (high / max) |
| Release Date | April 24, 2026 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: deepseek/deepseek-v4-pro
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "deepseek/deepseek-v4-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: deepseek/deepseek-v4-pro
- Provider: Deepseek
- Open-source weights available on HuggingFace and ModelScope
- Supports both OpenAI and Anthropic API formats
- For complex Agent scenarios, use thinking mode with reasoning_effort set to max
Info
Desteklenen İşlevsellik
API Erişim Kılavuzu
deepseek/deepseek-v4-pro
DeepSeek V4 Pro is DeepSeek's flagship open-source model released in April 2026, featuring a 1.6T-parameter Mixture-of-Experts architecture with 49B parameters active per token. It supports a 1M-token context window through a novel hybrid attention mechanism combining Compressed Sparse Attention and DeepSeek Sparse Attention, reducing inference FLOPs to 27% and KV cache to 10% compared to V3.2 at million-token scale. Pre-trained on 33T tokens with post-training via GRPO reinforcement learning and on-policy distillation, V4 Pro delivers frontier-level performance in coding (LiveCodeBench 93.5, Codeforces 3206), math (IMOAnswerBench 89.8), and agentic tasks (SWE-bench Verified 80.6) — competitive with GPT-5.4 and Claude Opus 4.6 at a fraction of the cost. It natively supports thinking and non-thinking modes with configurable reasoning effort, function calling, JSON output, and has been specifically optimized for mainstream agent frameworks including Claude Code, OpenClaw, and OpenCode.
Input
$1.84 /M
Output
$3.66 /M
Context
1049K
Max Output
384K
Tool Use
Supported
Try deepseek/deepseek-v4-pro on WaveSpeedAI
Access deepseek/deepseek-v4-pro through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Open Playground