DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Tested on 18 benchmarks · BenchGecko score 51.6. Top scores: Chatbot Arena Elo — Overall (1422.1%), Chatbot Arena Elo — Coding (1271.8%), Fiction.LiveBench (83.3%).
Gemma 2 9B scores 51.1 (99% as good) at $0.03/1M input · 89% cheaper
Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.
Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.
Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.
Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.
- Typetext
- Context164K tokens (~82 books)
- ReleasedSep 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.001
Frequently Asked Questions
Related Models
DeepSeek V3.2 · DeepSeekDeepSeek V3.1 · DeepSeekMiniMax M2.5 · minimaxMiniMax M2.7 · minimaxGemma 2 9B · Google DeepMindKey facts · as of 2026-10-16
- DeepSeek V3.2 Exp by DeepSeek. BenchGecko score 51.6, rank 141 of 319 scored models (normalized average of public benchmark scores).
- List price $0.27 input · $0.41 output per 1M tokens (as of 2026-10-16).
- Sold by 1 provider (as of 2026-10-16): SiliconFlow (fp8) $0.27 in / $0.41 out.
How to cite · data as of 2026-10-16
DeepSeek V3.2 Exp · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/deepseek-v3-2-exp
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP