DeepSeek V4 Core Features Overview
1M Context · Top Reasoning · Vision Primitives · DSpark Acceleration
Context
Codeforces
Speed Boost
V4 Pro vs V4 Flash
| Feature | V4 Pro | V4 Flash |
|---|---|---|
| Context Window | 1M tokens | 128K tokens |
| Reasoning Depth | Deep (CoT) | Standard |
| Inference Speed | 45 tok/s | 112 tok/s |
| Vision Support | Full | Basic |
| Price / 1M Input | $0.14 | $0.07 |
| API Rate Limit | 60 RPM | 120 RPM |
| Open Source License | MIT | MIT |
| Model Size | 671B MoE | 37B |
Core Capabilities Deep Dive
Four pillars that define DeepSeek V4
1M Token Context
Process long documents, codebases, and complex tasks with ease.
Top‑Tier Reasoning
Codeforces 3206, outperforming all open‑source models in STEM.
Vision‑Primitive Mode
Precise spatial reasoning with minimal token consumption.
DSpark Acceleration
Speculative decoding boosts response speed by up to 85%.
Thinking vs Non‑Thinking Mode
Choose the right mode for your task — deep reasoning or fast responses.
🧠 Thinking Mode (Deep Reasoning)
Step-by-step chain-of-thought for complex STEM and coding tasks.
⚡ Non-Thinking Mode (Fast Response)
Direct answers with lower latency for everyday conversations.
Example contrast
"Let me think step by step…" → full derivation before the final answer.
Instant concise reply without exposing intermediate reasoning.
👁️ Vision‑Primitive Mode
DeepSeek V4 uses vision primitives for spatial reasoning — understanding layouts, diagrams, and UI screenshots with minimal token overhead.
Image → Vision Primitives → Understanding
- ✓ Chart & diagram interpretation
- ✓ UI layout analysis
- ✓ 3D spatial reasoning
Token efficiency
V4 Pro: Full vision-primitive pipeline
V4 Flash: Basic vision support
Agent Capabilities
Autonomous task execution benchmarks
⚡ DSpark Speculative Decoding
Parallel token generation via speculative decoding — dramatically lower latency.
⚡ 85% faster response
Technical Specifications
| 671B MoE (Pro) / 37B Dense (Flash) | |
| 1M tokens (Pro) / 128K (Flash) | |
| Multi-lingual + code + STEM corpus | |
| From $0.07 / 1M input tokens |
API Compatibility
Drop-in compatible with popular LLM SDKs — migrate in minutes.
- ✓ OpenAI Chat Completions API
- ✓ Anthropic-compatible endpoints
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.deepseek.com/v1"
)
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)cURL
curl https://api.deepseek.com/v1/chat/completions \
-H "Authorization: Bearer $DEEPSEEK_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek-v4-flash","messages":[{"role":"user","content":"Hi"}]}'Open Source & Community
MIT License — free for commercial use, modification, and redistribution.
Start Building with DeepSeek V4
Experience the next generation of open-source AI today.