DeepSeek R2 is coming—but why wait when you can lead with what’s already here?
While everyone anticipates DeepSeek R2, smart developers are already dominating with DeepSeek’s current powerhouse models on Novita AI.
New users get $10 in free credits, plus refer friends to earn up to $500 in total LLM API rewards!
Current DeepSeek Lineup:
- DeepSeek V3 0324: $0.33 / M input, $1.3 / M output (128K context)
- DeepSeek R1 Turbo: $0.7 / M input, $2.5 / M output (64K context)
- DeepSeek V3 Turbo: $0.4 / M input, $1.3 / M output (64K context)
Don’t wait for tomorrow’s models—deploy game-changing AI today with just an API call.
Deepseek V3, R1, V3 0324: Same Architecture
| Category | Details |
|---|---|
| Model Size | 671B parameters (37B active/token) |
| Architecture | Mixture of Experts (MoE) |
| Open Source | Yes (All versions) |
| Language Support | Multilingual — Excels in English and Chinese |
| Multimodal | Text-to-text only |
| Context Window | 128K tokens |
| Versions | – DeepSeek R1: Jan 21, 2025 – DeepSeek V3 0324: Mar 24, 2025 – DeepSeek V3: Dec 16.2024 |
Deepseek V3, R1, 0324 — The Real Difference Is Training
Otherwise, DeepSeek V3 0324 incorporates insights from the reinforcement learning techniques used in DeepSeek-R1.
Deepseek V3, R1, 0324: Low Price and Latency
Novita AI has introduced DeepSeek R1 Turbo, offering 3x throughput and limited-time 60% discount. Moreover, this version fully supports function calling.
Even More Exciting: Novita AI is one of the top-ranked DeepSeek R1 API on OpenRouter
DeepSeek V3, R1, and 0324: Benchmark Showdown with GPT
DeepSeek-R1 performs excellently on multiple evaluation benchmarks, especially ranking among the top in tasks such as HumanEval, MATH – 500, and MMLU – Pro.
The o1 model also shows good performance in most tasks and achieves comparable results to DeepSeek – R1 in some tasks.
Overall, in most evaluation tasks, DeepSeek V3 (Mar ’25) outperforms DeepSeek V3 (Dec ’24). Only in the LiveCodeBench coding task does the Dec ’24 version have a slight edge.
DeepSeek V3, R1, and 0324: Heavy Hardware Demands
| Model Version | Approx. VRAM Required | GPU Configuration | Total GPU Memory |
|---|---|---|---|
| DeepSeek V3 | 1423.01 GB | 24×H100 (80GB each) | 1920 GB |
| DeepSeek V3 0324 | 1532 GB | 24×H100 (80GB each) | 1920 GB |
| DeepSeek R1 (Base, 671B) | 1854.43 GB | 24×H100 (80GB each) | 1920 GB |
| DeepSeek-R1-Distill-Llama-8B | 22.2 GB | 1×RTX 4090 (24GB) | 24 GB |
| DeepSeek-R1-Distill-Qwen-14B | 39 GB | 2×RTX 4090 (24GB each) | 48 GB |
| DeepSeek-R1-Distill-Qwen-32B | 88.99 GB | 2×H100 (80GB each) | 160 GB |
| DeepSeek-R1-Distill-Llama-70B | 194.14 GB | 4×H100 (80GB each) | 320 GB |
DeepSeek V3, R1, and 0324: 3 API Access Options
Option 1: Direct API Integration
Key Features:
- Unified endpoint:
/v3/openaisupports OpenAI’s Chat Completions API format. - Flexible controls: Adjust temperature, top-p, penalties, and more for tailored results.
- Streaming & batching: Choose your preferred response mode.
Option 2: Multi-Agent Workflows with OpenAI Agents SDK
Build advanced multi-agent systems by integrating Novita AI with the OpenAI Agents SDK:
- Plug-and-play: Use Novita AI’s LLMs in any OpenAI Agents workflow.
- Supports handoffs, routing, and tool use: Design agents that can delegate, triage, or run functions, all powered by Novita AI’s models.
- Python integration: Simply point the SDK to Novita’s endpoint (
https://api.novita.ai/v3/openai) and use your API key.
Connect Qwen 3 API on Third-Party Platforms
- Hugging Face: Use Qwen 3 in Spaces, pipelines, or with the Transformers library via Novita AI endpoints.
- Agent & Orchestration Frameworks: Easily connect Novita AI with partner platforms like Continue, AnythingLLM,LangChain, Dify and Langflow through official connectors and step-by-step integration guides.
- OpenAI-Compatible API: Enjoy hassle-free migration and integration with tools such as Cline and Cursor, designed for the OpenAI API standard.
While DeepSeek V3, R1, and 0324 share the same underlying model architecture, their training regimes lead to significant differences in performance and application. Whether you’re optimizing for cost, hardware, or task-specific quality, understanding these nuances helps you choose the right model. For developers, Novita AI makes access simple, flexible, and affordable across major platforms.
Frequently Asked Questions
DeepSeek V3 (Mar 2025) shows the best average benchmark performance, except in LiveCodeBench where the Dec 2024 version has a slight edge.
Yes — especially R1 Turbo via Novita AI offers full support with OpenAI-compatible endpoints.
Full models need 24×H100 GPUs (~1920 GB VRAM); distilled versions can run on single RTX 4090 or dual H100 setups.
Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.
Recommended Reading
- Choose Between Qwen 3 and Qwen 2.5: Lightweight Efficiency or Advanced Reasoning Power?
- Complete Guide: Using Llama 3.3 70B for Code Generation (2025)
- How to Access Kling AI in the United States: Official Website vs. API Integration
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