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DeepSeek

DeepSeek

Verified

Open-weight frontier models with 1M context, multimodal, and radical low cost

AI Assistants Freemium

Released

2023-07

Country

China

API

Available

Self-Host

Yes

Funding

Private

Last Updated

2026-06

About DeepSeek

DeepSeek is an AI lab and assistant platform known for its open-weight model family. After the DeepSeek-V3 and DeepSeek-R1 reasoning models proved that frontier-grade performance could be delivered at a fraction of closed-model cost, the lab released DeepSeek-V4 Preview on 2026-04-24 — open-sourced with a 1M-token context window, multimodal image and video generation, and significantly stronger coding performance. Early benchmarks place V4 in the same tier as GPT-5.5 and Claude Opus 4.7 while costing roughly 10× less via API. The DeepSeek chat assistant (chat.deepseek.com) gives free access to these models with a "DeepThink" reasoning mode. Because the weights are open, DeepSeek models are widely self-hosted and have become a default choice for cost-conscious developers.

Verdict

The open-weights value champion. With V4's 1M context, multimodal, and frontier-level coding at roughly a tenth of rival API costs, DeepSeek is the default pick for cost-sensitive and self-hosted setups — though its product ecosystem still trails the closed-model giants.

Features

DeepThink reasoning mode
Web search
File analysis
1M token context window (V4)
Multimodal (image/video, V4)
Open-weight, self-hostable models
Code generation
Low-cost API

Detailed Ratings

Ease of Use
7.0
Value for Money
8.5
Features
7.2
Support
6.5
Performance
7.5
Overall Rating
7.5 /10

Benchmark Scores

Benchmark Score Date
DeepSeek-V4 vs frontier models Rivals GPT-5.5 / Claude Opus 4.7 on coding & reasoning 2026-04
API cost ~10× lower than comparable frontier models 2026-04

Benchmark scores from publicly available sources. Actual performance may vary in real-world usage.

Pros & Cons

Pros

  • Frontier-level reasoning for free
  • Extremely cheap API
  • V4 adds 1M context & multimodal
  • Strong coding & math

Cons

  • Smaller product ecosystem
  • Capacity constraints during peak demand
  • Multimodal is nascent (V4 Preview stage)

Use Cases

Complex reasoningCoding & mathCost-sensitive AI appsSelf-hosted deploymentsLong-document analysis (1M context)Research

Who Is It For?

Developers and cost-conscious users who want frontier-level reasoning, 1M-token context, and coding performance for free or at extremely low API cost

#chatbot#general-assistant#deepseek#open-weight#reasoning#low-cost#multimodal#long-context

Pricing Plans

Free

Free
  • DeepSeek chat access
  • DeepThink reasoning mode
  • Web search
  • File uploads

API — Cache Hit

$0.07 /per 1M input tok
  • Cached input pricing
  • Ultra-low cost
  • Best for repeated prompts

API — Standard

$0.27 /per 1M input tok
  • Standard pricing
  • Non-cached input
  • Reasoning model access

API — V4 (1M context)

~10× lower /than frontier rivals
  • 1M-token context window
  • Multimodal (image/video)
  • Preview-stage access

Frequently Asked Questions

Is DeepSeek really free?

The DeepSeek chat assistant is free to use, and the underlying model weights are openly available. The API is paid but dramatically cheaper than most frontier-model APIs.

Are DeepSeek models open source?

DeepSeek releases model weights openly (DeepSeek-V3, V4, and R1) under a permissive license, allowing self-hosting. This makes them popular for cost-sensitive and private deployments.

What is DeepSeek-V4?

DeepSeek-V4 Preview (released and open-sourced 2026-04-24) is the latest generation, featuring a 1M-token context window, multimodal image and video generation, and stronger coding performance. Early benchmarks place it alongside GPT-5.5 and Claude Opus 4.7 at roughly 10× lower cost. Note that V4 is currently in preview and the preview access is time-limited.

How does DeepSeek compare to GPT or Claude?

On many reasoning and coding benchmarks, the latest DeepSeek models are competitive with frontier closed models while costing far less via API. Its surrounding product ecosystem is smaller and multimodal support is newer than more mature rivals.

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Links & Resources

AR Reviewed by AgentRadar · Reviewed on · How we rate

Profiles are AI-assisted from public information — not independently hands-on tested.