Long Context Window
Processes up to 128,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversations without truncation.
DeepSeek
DeepSeek-V3
DeepSeek-V3 is a large language model developed by DeepSeek, a Chinese AI company. It is a general-purpose text generation model designed to handle a wide range of tasks including coding, reasoning, summarization, and open-ended conversation. The model supports a 128,000-token context window and was trained on data through late 2024. It is identified by the model ID deepseek-chat and is available via API. DeepSeek-V3 uses a Mixture-of-Experts (MoE) architecture with 671 billion total parameters, activating 37 billion per forward pass, which allows it to maintain efficiency at scale. The model was trained using an optimized pipeline that includes multi-token prediction and FP8 mixed-precision training. It is well-suited for tasks that require long-context understanding, instruction following, and multi-step reasoning across technical and general domains.
Dec 26, 2024
128,000 context
8,000 tokens output
Long Context Window
Fast Inference
Code Generation
Instruction Following
Mathematical Reasoning
Multilingual Text
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
DeepSeek
Model ID
The routed model identifier exposed by upstream providers.
deepseek/deepseek-chat
Input Context Window
The number of tokens supported by the input context window.
128,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,000 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Dec 26, 2024
1 year ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
2024-07-31
API Providers
The providers that offer this model. This is not an exhaustive list.
DeepInfra, Novita
Modalities
Types of data this model can process.
Text
What is DeepSeek-V3
A fuller summary of positioning, capabilities, and source-specific details for DeepSeek-V3.
DeepSeek-V3 is a large language model developed by DeepSeek, a Chinese AI company. It is a general-purpose text generation model designed to handle a wide range of tasks including coding, reasoning, summarization, and open-ended conversation. The model supports a 128,000-token context window and was trained on data through late 2024. It is identified by the model ID deepseek-chat and is available via API.
DeepSeek-V3 uses a Mixture-of-Experts (MoE) architecture with 671 billion total parameters, activating 37 billion per forward pass, which allows it to maintain efficiency at scale. The model was trained using an optimized pipeline that includes multi-token prediction and FP8 mixed-precision training. It is well-suited for tasks that require long-context understanding, instruction following, and multi-step reasoning across technical and general domains.
Capabilities
What DeepSeek-V3 supports
Fast Inference
Tagged as FAST, the model is optimized for low-latency responses through its MoE architecture, which activates only 37 billion of its 671 billion parameters per forward pass.
Code Generation
Generates, explains, and debugs code across multiple programming languages, with strong performance on coding benchmarks reported in DeepSeek's technical report.
Instruction Following
Responds to structured prompts and multi-step instructions, making it suitable for task automation, content generation, and assistant-style workflows.
Mathematical Reasoning
Handles multi-step mathematical problems using chain-of-thought style reasoning, supported by training on diverse math and science datasets.
Multilingual Text
Supports text generation and comprehension in multiple languages, with particular strength in English and Chinese based on training data composition.
Pricing for DeepSeek-V3
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$0.27
Per million tokens
Output tokens
$0.89
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxTemperature
2
maxResponseSize
8,000 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
DeepInfra
Novita
Provider Endpoints
Endpoint-level provider data currently available for this model.
DeepInfra
Novita
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
AIME 2024
American math olympiad problems
|
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
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HLE
Questions that challenge frontier models across many domains
|
|
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LiveCodeBench
Real-world coding tasks from recent competitions
|
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MATH-500
Undergraduate and competition-level math problems
|
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MMLU-Pro
Expert knowledge across 14 academic disciplines
|
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SciCode
Scientific research coding and numerical methods
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about DeepSeek-V3
DeepSeek-V3 discussions are most active in r/LocalLLaMA, r/JanitorAI_Refuges, r/SillyTavernAI. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 2920 upvotes and 1587 comments.
Guys, quick question. Is deepseek pro v4 better than chat for roleplaying? I’ve been using chat for like a whole year before realizing that there were newer models available, I am a noob when it comes to proxies.
Yes, it's on the title already. I just try to top up in official deepseek and there's two modes idk. I mean, what's the difference? Do they have both downsides or...? Which one you guys choose?
I tried using DeepSeek recently on their own website and it seems they apparently let you use DeepSeek-V3 and R1 models as much as you like without any limitations. How are they able to afford that while ChatGPT-4o gives you only a couple of free prompts before timing out?
Issues logging in, it takes forever, or it says login failed.
If logged in successfully, chat history is not loading, opening the chat takes a longer time and sometimes nothing comes up in the chat.
It is giving clear message in the chat that heavy traffic is there and retry later.
So it seems the infra of the DeepSeek chat has hit the limit.
DeepSeek, the Chinese artificial intelligence (AI) lab behind the innovation, unveiled its free large language model (LLM) DeepSeek-V3 in late December 2024 and claims it was built in two months for just $5.58 million — a fraction of the time and cost required by its Silicon Valley competitors.
Following hot on its heels is an even newer model called DeepSeek-R1, released Monday (Jan. 20). In third-party benchmark tests, DeepSeek-V3 matched the capabilities of OpenAI's GPT-4o and Anthropic's Claude Sonnet 3.5 while outperforming others, such as Meta's Llama 3.1 and Alibaba's Qwen2.5, in tasks that included problem-solving, coding and math.
😳
Now, R1 has also surpassed ChatGPT's latest o1 model in many of the same tests. This impressive performance at a fraction of the cost of other models, its semi-open-source nature, and its training on significantly less graphics processing units (GPUs) has wowed AI experts and raised the specter of China's AI models surpassing their U.S. counterparts.
"We should take the developments out of China very, very seriously," Satya Nadella, the CEO of Microsoft, a strategic partner of OpenAI, said at the World Economic Forum in Davos, Switzerland, on Jan. 22..
FAQ
Common questions about DeepSeek-V3
What is the context window for DeepSeek-V3?
DeepSeek-V3 supports a context window of 128,000 tokens, allowing it to process long documents or extended conversations in a single request.
What is the knowledge cutoff for DeepSeek-V3?
Based on the available metadata, DeepSeek-V3 was trained on data through late 2024.
What model ID is used to access DeepSeek-V3 on MindStudio?
DeepSeek-V3 is accessed using the model ID deepseek-chat within MindStudio.
What type of tasks is DeepSeek-V3 designed for?
DeepSeek-V3 is a general-purpose text generation model suited for coding, reasoning, summarization, instruction following, and multilingual conversation.
What architecture does DeepSeek-V3 use?
DeepSeek-V3 uses a Mixture-of-Experts (MoE) architecture with 671 billion total parameters, activating 37 billion per forward pass. It was trained with FP8 mixed-precision training and multi-token prediction techniques.
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