FlagshipDeepSeek

DeepSeek V3.1

Name: DeepSeek V3.1
Availability: InStock
Author: DeepSeek

DeepSeek V3.1 is DeepSeek's flagship text-only language model with a 32K token context window for complex reasoning and generation tasks.

Context 33K

Tier Flagship

Input from

$0.150 / 1M tokens

across 4 providers

Compare Prices Model Page →Paper

API Pricing

Cheapest on OpenRouter — 61% below avg

Provider	Input / 1M	Output / 1M	Updated
OpenRouter	$0.150	$0.750	4/14/2026
Deep Infra	$0.210	$0.790	4/4/2026
Amazon AWS	$0.597	$1.73	4/10/2026
Together AI	$0.600	$1.70	4/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator: DeepSeek
Family: DeepSeek
Tier: Flagship
Context Window: 33K
Modalities: Text

Capabilities

Tool Calling: No
Open Source: No
Aliases: deepseek-chat-v3-1, deepseek-chat-v3-0324

Strengths & Limitations

32K token context window supports substantial document processing
Flagship-tier model designed for complex reasoning tasks
Text-focused architecture optimized for language understanding
Part of established DeepSeek model family with ongoing development
Supports streaming responses for real-time applications

No tool calling or function execution capabilities
Text-only modality - no image, audio, or video input support
Smaller context window compared to frontier models with 200K+ tokens
Proprietary model with no open-source weights available
Limited compared to multimodal flagship models from other providers

Key Features

•32,768 token context window

•Text generation and understanding

•Streaming response capability

•Complex reasoning and analysis

•Long-form content generation

•Multi-turn conversation support

•Document processing and summarization

About DeepSeek V3.1

DeepSeek V3.1 is the flagship language model from DeepSeek, representing the latest generation in the DeepSeek model family. As a proprietary model, it positions itself as the company's most capable offering for complex language understanding and generation tasks. The model operates with a 32,768 token context window and focuses exclusively on text-based interactions. DeepSeek V3.1 is designed for sophisticated language tasks that require deep reasoning and coherent long-form generation, though it does not include tool calling capabilities or multimodal input support. DeepSeek V3.1 serves users who need advanced text processing capabilities for applications like content creation, analysis, and complex reasoning tasks. While newer flagship models from other providers offer larger context windows and additional modalities, DeepSeek V3.1 provides an alternative for organizations seeking powerful language model capabilities through DeepSeek's approach to model development.

Common Use Cases

DeepSeek V3.1 is suited for applications requiring sophisticated text processing and reasoning within a 32K token context. This includes long-form content creation, document analysis and summarization, complex writing assistance, and multi-turn conversational applications. The model works well for research analysis, report generation, creative writing projects, and educational content development where advanced language understanding is needed but tool integration and multimodal capabilities are not required. Organizations building text-focused applications that need reliable reasoning capabilities may find DeepSeek V3.1 appropriate for their workflows.

Frequently Asked Questions

How much does DeepSeek V3.1 cost per million tokens?

DeepSeek V3.1 pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.

What is DeepSeek V3.1 best used for?

DeepSeek V3.1 excels at complex text generation, reasoning tasks, document analysis, and long-form content creation within its 32K context window. It's well-suited for applications requiring sophisticated language understanding without needing tool calling or multimodal capabilities.

Does DeepSeek V3.1 support function calling or tool use?

No, DeepSeek V3.1 does not support function calling or tool execution capabilities. It focuses exclusively on text-based language understanding and generation tasks.