HomeDeepSeek-V2-Chat
236B
Model parameter quantity
DeepSeek
Affiliated organization
Open Source
License Type
May 6, 2024
Release time
Related figures
Model Introduction
DeepSeek-V2 is a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token. Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 times.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
5.0
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
6.3
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
4.1
Model comparison
DeepSeek-V2-Chat vs Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
DeepSeek-V2-Chat vs Doubao-Seed-1.6-thinking-250715
The latest version of the seed series model launched by ByteDance, which supports the thinking mode.
Related model
DeepSeek-V4-Flash
DeepSeek-V4-Flash is DeepSeek’s efficiency-oriented lightweight model for low-latency interaction, high-concurrency usage, and everyday intelligent applications.
DeepSeek-V4-Pro
DeepSeek-V4-Pro is DeepSeek’s flagship high-performance model, further enhancing reasoning, coding, long-text processing, and overall task capability.
DeepSeek-V3.2
The latest version of Deepseek V3 series models.
DeepSeek-V3.2-Exp
The latest experimental version of Deepseek V3 series models.
DeepSeek-R1-0528
The latest version of Deepseek R1.
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