DeepSeek-V3-0324

DeepSeek-V3-0324 is an improved version of DeepSeek's super-powered language model, released on March 24, 2025. One of the key technical changes was a slight increase in the total number of parameters, from 671 billion in V3 to 685 billion in V3-0324.Compared to the previous version (DeepSeek-V3), the model shows significant improvements in logical reasoning, programming, and Chinese text generation. The model showed an impressive increase in results in key benchmarks:

• MMLU-Pro: from 75.9 to 81.2 (+5.3)
• GPQA: from 59.1 to 68.4 (+9.3)
• AIME: from 39.6 to 59.4 (+19.8)
• LiveCodeBench: from 39.2 to 49.2 (+10.0)

The developers emphasized that the model particularly stands out for its web application development capabilities - the generated code is not only executable but also has an improved visual design. DeepSeek-V3-0324 also demonstrates improved interactivity in multi-step dialogs, improves the accuracy of function calls and fixes bugs from the previous version, making it one of the most robust models in its class.

Announce Date: 24.03.2025
Parameters: 685B
Experts: 256
Activated at inference: 37B
Context: 164K
Layers: 61
Attention Type: Multi-head Latent Attention
Developer: DeepSeek
Transformers Version: 4.46.3
License: MIT

Use our pre-built public endpoints for free to test inference and explore DeepSeek-V3-0324 capabilities. You can obtain an API access token on the token management page after registration and verification.

An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.

A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.

We recommend creating private endpoints when you need to:

• achieve maximum endpoint performance,
• access the full context window for processing large requests and conversations,
• ensure maximum security by processing data in a dedicated, isolated environment.

Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.