sophnet/DeepSeek-V3.1-Fast

sophnet/DeepSeek-V3.1-Fast

The high-performance, ultra-fast version of DeepSeek V3.1 Terminus, featuring a significantly improved response speed, is ideal for application scenarios that require rapid interaction.
2025-08-27
LLM
Model capability: function_call
Input:
$1.143/1M tokens
Output:
$3.4286/1M tokens
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API Overview

DeepSeek-V3.1-Terminus is DeepSeek’s flagship language model, primarily positioned as a high-performance inference workhorse that is “stable, reliable, and versatile across multiple scenarios.”

  • Language Consistency Optimization: Significantly alleviates issues such as mixed Chinese and English text and abnormal characters, producing cleaner, more coherent outputs that are fully aligned with the Chinese linguistic context.
  • Enhanced Agent Capabilities: The Code Agent and Search Agent have further improved performance, enabling more precise tool calls and more stable execution.
  • Leading Comprehensive Evaluation: Maintains a top-tier position among domestic open-source models in multiple domains, including mathematics, coding, and logical reasoning.

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Core Capabilities

🧠 Highly Stable Inference: After numerous rounds of refinement and optimization, it delivers reliable performance without “crashing” in long conversations, complex instructions, and multi-tool collaboration scenarios.

🇨🇳 Authentic Chinese Generation: Avoids stiff, translation-like phrasing and naturally incorporates idioms, colloquial expressions, and local nuances, making it ideal for content creation and customer service applications.

🧩 Intelligent Agent-Ready Architecture: Natively supports Function Calling and structured output, allowing you to easily build automated workflows for programming, search, and analysis.

Playground

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API Analytics

API Reference (1)

API DescriptionAPI EndpointRequest MethodStabilityParameter Description
Chat(SophNet)
POST
Stable
View Details

API Pricing

$
ModelDescriptionContextOfficial Price302.AI Price

sophnet/DeepSeek-V3.1-Fast

-
163000

Input$1.143 / 1M tokens
Output$3.4286 / 1M tokens

Input$1.143/ 1M tokens
Output$3.4286/ 1M tokens
Original Price