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DeepSeek R1/V3 In-Depth Review - The Light of Domestic Open Source

Sister QingSister QingJul 72026/07/07 179 views

This article is reprinted from AI Lab Exploration (ailabing.cn), copyright belongs to the original author. Click to view original link.


The Light of Domestic Open Source · Reasoning capabilities rival o1, extremely low API prices

Top-tier domestic open-source reasoning model

🚀 Go to Official Site to Experience

🏢 Produced by DeepSeek

📅 Updated 2026-03

🌐 deepseek.com

💰 Extremely Low API Pricing

⭐ Overall Rating

Reasoning Capability: 9.5 | Coding Capability: 9.2 | Chinese Language Ability: 9.3 | API Cost-Performance Ratio: 9.9 | Open Source Ecosystem: 9.0

🎉 King of Cost-Performance: DeepSeek R1's reasoning capability rivals OpenAI o1, but its API price is only 1/30th or even lower, making it the most disruptive domestic large model of 2026.

🔄 How to Choose Between R1 and V3

DeepSeek R1 — Reasoning Enhanced: Optimized specifically for complex reasoning scenarios, featuring built-in "Chain-of-Thought" processes that analyze problems step-by-step before answering. Suitable for: mathematical proofs, competition problems, logical reasoning, complex code debugging.

DeepSeek V3 — General Purpose Enhanced: Mixture-of-Experts (MoE) architecture, comprehensive capabilities, faster response speed, and lower cost. Suitable for: daily conversation, content creation, document summarization, rapid code generation.

💡 Recommended Strategy: Prioritize V3 for daily tasks (fast speed/low cost), switch to R1 for complex math/logic problems (higher accuracy).

🚀 Core Highlights

🧮 Reasoning Rivals o1: R1 matches OpenAI o1 on benchmarks like AIME and MATH, achieving top-tier accuracy in practical reasoning tests.

💰 Disruptively Low Prices: API input price is approx. $0.55/M tokens, 30-50 times cheaper than GPT-4o, ideal for high-frequency calls.

📖 Fully Open Source: Model weights are open source under MIT license, free for commercial use, supports local deployment (requires high-end GPU).

🌐 Top-Tier Chinese: Trained natively on Chinese data, achieving the highest level among domestic models in Chinese understanding, expression, and creation.

💻 Strong Coding Ability: Excellent performance on HumanEval and SWE-bench, comprehensive support for code generation/debugging/refactoring.

🔌 OpenAI Compatible API: API format is compatible with OpenAI, allowing seamless switching for existing projects, saving significant integration costs.

⚔️ Comparison with Mainstream Models

Dimension DeepSeek R1 GPT-4o Claude 3.5
Mathematical Reasoning ✓ Top-tier ✓ Strong ✓ Strong
Chinese Ability ✓ Strongest Medium Medium
API Price ✓ Extremely Low ✗ Higher ✗ Higher
Open Source Availability ✓ MIT Open Source ✗ Closed Source ✗ Closed Source
Response Speed Medium (R1 slower) ✓ Fast ✓ Fast
Multimodal Limited support in V3 ✓ Strong ✓ Strong

💰 API Pricing Reference

DeepSeek V3: ¥1 / 1 million tokens (input) — General dialogue/writing/code, fast response, 128K context, OpenAI API compatible.

DeepSeek R1: ¥4 / 1 million tokens (input) — Complex reasoning/math, Chain-of-Thought output, 64K context, capabilities rivaling o1.

💡 Register at the official site platform.deepseek.com to get an API Key; new users receive free credits. You can also experience direct web chat via chat.deepseek.com.

👤 Suitable Use Cases

  • ✅ Math/Competition/Reasoning — R1 has top-tier reasoning ability, extremely high problem-solving accuracy
  • ✅ Chinese Content Creation — Native Chinese optimization, writes smooth articles/scripts/reports
  • ✅ High-Frequency API Calls — Price is only 1/30th of GPT-4o, extremely low cost
  • ✅ Code Generation & Debugging — Coding ability rivals Claude 3.5, but at a lower price
  • ✅ Local Private Deployment — Open source weights allow self-deployment, data stays within borders
  • ❌ Complex Image-Text Understanding — Multimodal capabilities are weaker than GPT-4o/Gemini
  • ❌ Real-Time Search Information — Does not have internet search capabilities (requires third-party integration)

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2 replies

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Sister Liang on Valuation

[quote="liu_wanqing, post:1, topic:22"]

This article is reprinted from AI Lab Exploration (ailabing.cn), all rights reserved by the original author. Click to view original link.


The pride of domestic open source · Reasoning capabilities benchmarked against o1, extremely low API prices

Top-tier domestic open-source reasoning model

[🚀 Visit official site to try]…

[/quote]

The MIT open-source license is indeed a killer feature, but regarding the competitive landscape, will other domestic vendors follow suit? If everyone jumps on the price-cutting bandwagon, the profit ceiling for this track becomes very clear. The valuation logic for R1 isn't focused on current revenue, but on ecosystem monopoly.

Xiao Feng
Xiao FengJul 8(edited)

[quote="liu_wanqing, post:1, topic:22"]

This article is reprinted from AI Lab Exploration (ailabing.cn), all rights reserved by the original author. Click to view original link.


The light of domestic open source · Reasoning capabilities benchmarked against o1, extremely low API prices

Top-tier domestic open-source reasoning model

[🚀 Go to official site to experience]…

[/quote]

I've been using R1 for LeetCode recently. It's indeed powerful for logic problems, but that chain of thought is so long—every time I wait for it to finish thinking, I feel like going to brew a cup of coffee first. For daily documentation writing, switching to V3 is faster, and the price is a steal. Has anyone tried running R1 locally? How much VRAM does it need?