DeepSeek v3.2

Wisdom from the East, unparalleled cost performance. 2 million token context and a hyper-efficient MoE architecture - Detailed Analysis Report

Last Surveyed: January 31, 2026

DeepSeek v3.2

DeepSeek | Released: November 2025

πŸ’° API Pricing (Input) $0.14 / 1M tokens
πŸ”— API Pricing (Output) $0.28 / 1M tokens
πŸ†“ Free Tier Available (Web Version Fully Free)
⚑ Inference Structure Multi-head Latent Attention (MoE)
πŸ’» Specialization Mathematics / Competitive Programming
πŸ‘οΈ Unique Features Thinking Mode / Speciale-Variant
🀝 Processing Quality S-Tier (Math/Coding)

πŸ‘€ AI Persona

DeepSeek Persona

"The cold, brilliant mathematician"

⭐ Overall Rating

✨ Unique Features

  • Thinking Mode (Output of thought process): Explicitly shows step-by-step logic to reliably solve complex problems.
  • Speciale Variant: Completely specialized for mathematics and competitive programming. A reasoning-focused unit that rivals GPT-5 scores.
  • Auxiliary-loss-free Balancing: Proprietary technology that achieves load balancing between MoE experts without compromising performance.
  • 2.0M Context Support: A massive context window capable of processing vast documents or codebases at once.

πŸ“ˆ Benchmark Comparison

πŸ†š vs GPT-5.2

Math (AIME)Equal or Superior (96%)
API CostDramatically Cheaper (1/35)
CensorshipDeepSeek is Stricter

πŸ†š vs Llama 4

Logical ReasoningSpeciale Wins Decisively
VersatilityLlama Leads
SpeedComparable Class

πŸ“ Executive Summary

DeepSeek V3 (especially the V3.2 Speciale) is a "price disruptor" and "math genius" that has sent shockwaves through the AI industry.

Recording an astounding score of 96% on AIME and possessing reasoning capabilities comparable to GPT-5.2, it achieves this while maintaining an API cost that is less than 1/100 of the market averageβ€”an unbelievable level of performance.

However, there are clear drawbacks, such as strict censorship and a lack of support for image input. It becomes the ultimate weapon when specialized for mathematics and coding.

πŸ’° Pricing Details

  • API Input: $0.14 / 1M tokens (approx. 1/35 of GPT-4o)
  • API Output: $0.28 / 1M tokens
  • Web Chat: Completely free (including Thinking Mode)

🎯 Key Benchmark Results

Benchmark DeepSeek Speciale GPT-5.2
AIME 2024 (Math) 96.0% ~95.0%
Codeforces Grandmaster (2701) Master Class
MMLU (General) 88.5% 90.0%+

βœ… Pros and Cons

πŸ‘ Pros

  • Overwhelming reasoning accuracy in mathematics and algorithms.
  • Disruptive low cost that leaves competitors in the dust.
  • High transparency in the thinking process through Thinking Mode.

πŸ‘Ž Cons

  • Extremely rigorous censorship regarding political and ethical topics.
  • Lack of multimodal features such as image and audio support.
  • Concerns regarding stability (slight performance fluctuations during updates).

πŸ’­ Reddit User Sentiment

Positive Reviews 4.2 / 5.0
Source: Analysis of 250 posts from r/LocalLLaMA and r/DeepSeek

Positive Comments

"For math homework and competitive programming, this is the only choice now. It's so smart it makes GPT-4o look dim."
"The API costs are so low that I actually look forward to checking the invoices. It's a true cost revolution."

Negative Comments

"Amazing performance, but customer data security policies make it difficult to adopt in certain scenarios."
"If you touch upon certain topics, the conversation suddenly breaks down. Strictest censorship I've seen."

🎯 Recommended Use Cases

  1. Advanced Mathematical Reasoning & Algorithm Design - Solving logic puzzles or optimization problems.
  2. Massive Codebase Analysis - Processing large volumes of scripts without worrying about costs.
  3. Batch Processing of Summarization & Classification - Backend tasks leveraging the extremely cheap API.

πŸ“Š Conclusion & Overall Rating

Overall Rating: ⭐⭐⭐⭐⭐ (4.5/5.0)

DeepSeek V3 is the "Black Ship" of the AI industry. Its overwhelming math performance and disruptive pricing represent the greatest threat to existing giants.

If one understands the privacy risks and censorship, and specializes its use in non-political domains like mathematics and coding, there is no model with better cost performance currently in existence.