DeepSeek: Open-Source LLM Review June 2026

Last updated: 2026-06-14

DeepSeek V4 (April 2026): 1.6T parameters, Huawei-optimized, lowest inference costs in its class. API from $0.28/1M tokens. Open-source. Full review.

DeepSeek is a Chinese AI company offering frontier LLMs at 10-30x lower cost than OpenAI or Anthropic, with API pricing from $0.28 per million tokens. On April 26, 2026, DeepSeek released V4, a 1.6 trillion parameter model optimized for Huawei AI chips with drastically reduced inference costs. Models are MIT-licensed and self-hostable via Ollama, vLLM, or cloud APIs.

About DeepSeek

DeepSeek is a Chinese AI company founded in July 2023 that develops state-of-the-art large language models featuring Mixture-of-Experts architecture. The company offers multiple model families including DeepSeek-V3.2 (flagship general-purpose model), DeepSeek-R1 (reasoning-focused), DeepSeek Coder V2 (code generation), and DeepSeek VL (multimodal). DeepSeek models are distinguished by exceptional cost efficiency—trained for a fraction of competitors' budgets while achieving comparable or superior performance on standard benchmarks. The platform provides both free web/app interfaces and API access with token-based pay-as-you-go pricing. DeepSeek's models support 128K token context windows, making them suitable for long-document processing, code analysis, mathematical reasoning, and multi-step agentic workflows. The company emphasizes open-source accessibility with MIT licensing for most models, enabling self-hosting and fine-tuning. Recent releases like V3.2 introduce DeepSeek Sparse Attention for improved long-context efficiency, while maintaining competitive performance against GPT-4, Claude, and other frontier models at significantly lower operational costs.

Pricing

Free tier: up to 1M input tokens/month + limited output. API pricing: DeepSeek-V3.2 at $0.28/$0.42 per 1M tokens (input/output); DeepSeek-R1 at $0.55/$2.19 per 1M tokens. Cache hit discounts (90% reduction) and off-peak pricing available. Enterprise plans available with custom pricing starting ~$18,000/year for private deployment.

Key Features

• Advanced Mixture-of-Experts Architecture: 671B total parameters with 37B activated per token using DeepSeekMoE framework for efficient inference and cost-effective training, matching state-of-the-art performance with lower computational overhead.
• Extended Context Windows: Supports 128K-164K token context windows enabling processing of full documents, codebases, and multi-turn conversations without truncation, with DeepSeek Sparse Attention optimizing long-sequence efficiency.
• Reasoning & Chain-of-Thought: Native support for extended thinking mode with chain-of-thought reasoning, verification patterns, and reflection capabilities built directly into V3.2 and R1 models for complex problem-solving.
• Cost-Effective Token Pricing: Pay-as-you-go API starting at $0.28/$0.42 per million tokens for V3.2, with 90% cache hit discounts and off-peak pricing available, making it 10-30x cheaper than OpenAI or Anthropic alternatives.
• Open-Source & Commercial Use: MIT-licensed open-source model weights available on GitHub and Hugging Face for self-hosting, fine-tuning, and commercial deployment without licensing restrictions or vendor lock-in.
• DeepSeek V4 — 1.6 Trillion Parameters on Huawei Chips: Released April 26, 2026: DeepSeek V4 features 1.6 trillion parameters and is specifically tailored for Huawei AI hardware, drastically reducing inference costs and establishing hardware independence from NVIDIA GPUs.

Pros

• Exceptional cost efficiency with API pricing 10-30x cheaper than competitors while maintaining frontier model performance
• Strong performance on reasoning, mathematics, and coding benchmarks matching or exceeding GPT-4 and Claude equivalents
• Extended 128K-164K context windows with sparse attention enabling long-document analysis without performance degradation
• Open-source models with MIT licensing enabling self-hosting, fine-tuning, and commercial deployment
• Unified reasoning and chat in single model with native chain-of-thought and extended thinking capabilities
• Fast inference and low latency with efficient MoE architecture and sparse attention optimizations

Cons

• Knowledge cutoff limited to September 2025, lacking real-time information and current events awareness
• Less aligned than frontier models on safety/jailbreak benchmarks per Microsoft research; requires content filtering for production
• Reasoning models consume more tokens than competitors' implementations, reducing token efficiency despite lower per-token costs
• Geopolitical constraints and data governance concerns as Chinese company subject to local regulatory oversight

Frequently Asked Questions

What is DeepSeek?

DeepSeek is a Chinese AI company founded in July 2023 that develops large language models using Mixture-of-Experts architecture. Its model families include DeepSeek-V3.2 (general-purpose flagship), DeepSeek-R1 (reasoning-focused), DeepSeek Coder V2, and DeepSeek VL (multimodal). DeepSeek models support 128K token context windows and are released under MIT license for self-hosting and fine-tuning.

How much does DeepSeek cost?

DeepSeek offers free web and app access to its chat interface. API access is pay-as-you-go starting around $0.07 per million input tokens for cached requests, significantly cheaper than GPT-4-class competitors, with output tokens priced separately.

What are the main features of DeepSeek?

DeepSeek's key features include 128K token context windows for long-document processing, DeepSeek Sparse Attention for long-context efficiency in V3.2, MIT-licensed open weights enabling self-hosting, and strong benchmark performance in coding and mathematical reasoning at a fraction of the training cost of competitors.

Is DeepSeek free to use?

Yes, DeepSeek's web and mobile chat apps are free to use. API access is metered and billed per token, but pricing starts as low as $0.07/1M input tokens, among the cheapest in the industry.

Who is DeepSeek best for?

DeepSeek is best for developers and businesses needing cost-effective access to near-frontier reasoning and coding capabilities, especially those wanting to self-host open-weight models. It is less suited for users requiring guaranteed data residency outside China or needing the absolute highest benchmark scores regardless of cost.

How does DeepSeek compare to GPT-4 and Claude?

DeepSeek-V3.2 and R1 achieve performance comparable to or competitive with GPT-4 and Claude on standard benchmarks while costing a fraction of the price per token, and unlike GPT-4 and Claude, DeepSeek's models are open-source under MIT license, allowing self-hosting and fine-tuning.

Does DeepSeek support API access?

Yes, DeepSeek provides an OpenAI-compatible API with token-based pay-as-you-go pricing, supporting context windows up to 128K tokens for chat, coding, and reasoning tasks.

Is DeepSeek open source?

Most DeepSeek models, including V3.2 and R1, are released under the MIT license, allowing developers to download, modify, fine-tune, and self-host the models without licensing fees.

Visit DeepSeek Official Website