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Text Generation Model

DeepSeek V3.1

DeepSeek V3.1 is a text generation model from DeepSeek with a 128,000-token context window, released in August 2025.

PublisherDeepSeek
TypeText
Context Window128,000 tokens
ReleasedAugust 2025
Input$0.27/MTok
Output$1.00/MTok
ProviderDeepInfra

Large-scale text generation with long context

DeepSeek V3.1 is a large language model developed by DeepSeek, a Chinese AI research company. It is a chat-oriented text generation model hosted through DeepInfra and supports a context window of 128,000 tokens, allowing it to process and generate responses across long documents or extended conversations. The model is identified under the full name deepseek-ai/DeepSeek-V3.1 and was released in August 2025.

DeepSeek V3.1 is suited for tasks that benefit from long-context understanding, such as document summarization, multi-turn dialogue, code assistance, and complex instruction following. It produces text responses with a maximum response size of 8,000 tokens per output. The model is available on MindStudio without requiring users to manage their own API keys or infrastructure.

What DeepSeek V3.1 supports

Long Context Window

Processes up to 128,000 tokens of input in a single request, enabling analysis of lengthy documents or extended conversation histories.

Text Generation

Generates natural language responses for tasks such as summarization, instruction following, and open-ended dialogue, with a maximum response size of 8,000 tokens.

Code Assistance

Supports code-related tasks including generation, explanation, and debugging across common programming languages.

Multi-Turn Dialogue

Handles extended back-and-forth conversations by retaining context across many turns within the 128,000-token limit.

Instruction Following

Responds to structured prompts and complex multi-step instructions, making it applicable for task automation and agentic workflows.

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Benchmark scores

Scores represent accuracy — the percentage of questions answered correctly on each test.

BenchmarkWhat it testsScore
MMLU-ProExpert knowledge across 14 academic disciplines83.3%
GPQA DiamondPhD-level science questions (biology, physics, chemistry)73.5%
LiveCodeBenchReal-world coding tasks from recent competitions57.7%
HLEQuestions that challenge frontier models across many domains6.3%
SciCodeScientific research coding and numerical methods36.7%

Common questions about DeepSeek V3.1

What is the context window size for DeepSeek V3.1?

DeepSeek V3.1 supports a context window of 128,000 tokens, meaning it can process up to 128,000 tokens of combined input and conversation history in a single request.

What is the maximum response length?

The model has a maximum response size of 8,000 tokens per output generation.

Who developed DeepSeek V3.1 and when was it released?

DeepSeek V3.1 was developed by DeepSeek, a Chinese AI research company. It was released in August 2025 and is available under the full model identifier deepseek-ai/DeepSeek-V3.1.

Does DeepSeek V3.1 support image or video inputs?

Based on the available metadata, DeepSeek V3.1 does not have confirmed support for image or video inputs. It is classified as a text generation model.

What is the pricing for using DeepSeek V3.1 on MindStudio?

Specific pricing for DeepSeek V3.1 is not published in the current metadata. You can check MindStudio's pricing page or model catalog for the latest usage costs.

What people think about DeepSeek V3.1

Community reception on r/LocalLLaMA has been broadly positive, with multiple threads accumulating hundreds of upvotes and active discussion around the model's release and base weights. Users have praised the hybrid reasoning capability and the availability of the base model weights on Hugging Face.

A notable portion of community discussion involves direct comparisons with other models and questions about practical local deployment given the model's large parameter count. Hardware requirements for running a 671B MoE model locally are a recurring concern in the threads.

View more discussions →

Parameters & options

Max Temperature1
Max Response Size8,000 tokens

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