DeepSeek

Code Assistant

DeepSeek is a Chinese AI lab whose current flagship models, DeepSeek-V4-Flash and DeepSeek-V4-Pro, compete with GPT-5 and Claude-class models on coding, reasoning, and general tasks at a fraction of the API cost. The free chat interface at chat.deepseek.com offers both models (Flash as "Instant Mode," Pro as "Expert Mode"), while the API provides OpenAI- and Anthropic-compatible endpoints for developers. Both models are open-weight under an MIT license and available for self-hosting via Hugging Face.

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Qwen (Alibaba)
similar low-cost
open-weight positioning

Features & details

Full overview from our catalog (read-only reference).

Category (short)

Code Assistant

Sponsored note

Target audience

Developers & engineers

Best for

Developers who want strong benchmarks at a fraction of OpenAI/Anthropic API pricing, budget-conscious startups building AI features into products, teams self-hosting open-weight models, and anyone already using Cursor, Claude Code, or GitHub Copilot who wants a cheaper backend model. Not ideal for: regulated enterprises needing mature SOC 2/GDPR compliance documentation, or teams uncomfortable with a Chinese company holding chat-interface data.

Pricing notes

Verified August 2026 at api-docs.deepseek.com/quick_start/pricing and deepseek.ai/pricing. Chat interface at chat.deepseek.com is free with no subscription tier. API (per 1M tokens): DeepSeek-V4-Flash costs $0.14 input (cache miss) / $0.0028 input (cache hit) / $0.28 output, the default model, live since July 31, 2026. DeepSeek-V4-Pro costs $0.435 input (cache miss) / $0.003625 input (cache hit) / $0.87 output. The legacy deepseek-chat and deepseek-reasoner model IDs were fully retired on July 24, 2026; calls to those IDs no longer route anywhere, so integrations must be updated to deepseek-v4-flash or deepseek-v4-pro. DeepSeek has announced a 2x peak-hour surcharge for busy Beijing-time windows but had not activated it as of early August 2026. Open-weight downloads remain free to self-host.

Pros & cons

Editorial notes to help compare fit before opening the vendor site.

Pros

Exceptional price-to-performance ratio on the API, especially V4-Flash
Free chat interface with web search and both model tiers available
Open-weight MIT-licensed models enable self-hosting and fine-tuning
OpenAI- and Anthropic-compatible API makes migration low-effort
1M-token context window on both tiers as of the V4 generation

Cons

Data privacy concerns due to Chinese company jurisdiction over chat data
Geopolitical risk may affect API availability in some regions or organizations
Model IDs and versioning have changed multiple times since 2025, breaking old integrations
Enterprise compliance (SOC 2, GDPR) documentation less mature than OpenAI/Anthropic
Peak-hour surcharge announced but not yet active, pricing could still shift

Review notes

Context from the listing review and editorial research.

DeepSeek made global headlines in January 2025 for matching frontier-model performance at dramatically lower training and inference cost, and the V4 generation (April-July 2026) extended that positioning with a 1M-token context window on both tiers. Developers consistently praise the price-to-performance ratio and broad coding-agent support. Ongoing concerns: data privacy and Chinese jurisdiction over chat-interface data, potential geopolitical restrictions on API access in some regions, frequent model ID changes (three renames since 2025 alone), and enterprise compliance documentation that lags OpenAI/Anthropic. UPDATE NOTE: this record already existed in the DB (id 360, slug deepseek); this research refreshes its description/features to the current V4-Flash/V4-Pro generation rather than the outdated V3/R1 framing, and should overwrite the existing row on import, not create a duplicate.

Extended features

In-depth description and capability notes.

DeepSeek Chat, free conversational interface with V4-Flash (Instant Mode) and V4-Pro (Expert Mode), web search, and saved history DeepSeek-V4-Flash, cost-efficient MoE model (284B total / 13B active parameters) with a 1M-token context window, the default for chat, extraction, and high-volume production tasks DeepSeek-V4-Pro, frontier-tier MoE model (1.6T total / 49B active parameters) for harder reasoning and coding tasks OpenAI- and Anthropic-compatible API endpoints for drop-in SDK replacement Context caching that cuts repeated-prompt input costs by roughly 98% on cache hits Open-weight models downloadable from Hugging Face for self-hosting under MIT license Agent tool integrations supported as a backend model in Cursor, Claude Code, GitHub Copilot, Cline, Continue.dev, and OpenCode

Use cases

DeepSeek works for everyday AI chat and for cost-sensitive production deployments where API bills from OpenAI or Anthropic add up fast. Typical uses: general-purpose chat and research with web search, code generation and multi-file review, a low-cost API backend for AI-powered apps and agents, self-hosted deployments using the open-weight downloads, RAG and document analysis with long-context windows, and replacing pricier frontier-model API calls in development workflows without changing SDK code.