frontieropen-sourcereasoning

DeepSeek

Chinese AI lab delivering frontier-level reasoning at open-source pricing.

3
Models tracked
2023
Founded
DeepSeek-V3
Flagship model
Hangzhou
HQ

About

About DeepSeek

DeepSeek, backed by the Chinese quantitative hedge fund High-Flyer, shocked the AI industry in early 2025 by releasing DeepSeek-R1 — a reasoning model that matches o1 performance while being available as open weights. DeepSeek's models use Multi-head Latent Attention (MLA) and mixture-of-experts architecture for exceptional efficiency. API access is priced 10–30× cheaper than comparable Western frontier models.

Key highlights

  • DeepSeek-R1 matches OpenAI o1 on AIME 2024 and MATH-500 — released as open weights

  • API pricing 10–30× cheaper than comparable Western frontier models

  • MIT-licenced open weights for V3 and R1 — full commercial use permitted

  • Multi-head Latent Attention (MLA) architecture for exceptional inference efficiency

  • Caused significant market impact in 2025, demonstrating compute efficiency

Models

3 models tracked

Context windows, pricing, capabilities, and API identifiers — everything you need to choose the right model for your workload.

FlagshipOpen Source

DeepSeek-V3

2024

64Kcontext
TextCodeReasoning

DeepSeek's flagship general-purpose model. A 685B MoE architecture with 37B active parameters. Available via API at a fraction of GPT-4 pricing or as open weights for self-hosting.

  • Extreme cost efficiency
  • Strong coding quality
  • Open weights (MIT)
  • 685B MoE architecture
In: $0.27 / M tokens
Out: $1.10 / M tokens
deepseek-chat
Open Source

DeepSeek-R1

2025

64Kcontext
TextCodeReasoning

An open-weight reasoning model that matches OpenAI o1 performance on math and coding benchmarks. Uses reinforcement learning for chain-of-thought — released as MIT-licenced open weights.

  • Matches o1 on AIME 2024
  • Extended chain-of-thought
  • MIT-licenced open weights
  • RL-trained reasoning
In: $0.55 / M tokens
Out: $2.19 / M tokens
deepseek-reasoner
Open Source

DeepSeek-V2.5

2024

128Kcontext
TextCode

An updated version of DeepSeek V2 combining chat and coding. Offers 128K context and is widely supported across open-source inference frameworks.

  • 128K context
  • Web + code capabilities
  • Open weights
  • Wide inference support
deepseek-v2.5

Use Cases

What DeepSeek is best for

Each provider has specialisms shaped by their architecture decisions, training data, and API design. Here is where DeepSeek performs best.

Cost-sensitive production workloads
Open reasoning pipelines
Coding assistants
Academic research
Self-hosted frontier-level AI

Get started

Start building with DeepSeek

Visit the official DeepSeek platform to access API keys, documentation, and pricing details.