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Deepseek V3.1

Provider: DeepSeek Updated: 2026-08-27

Deepseek V3.1 is an reasoning model model from Deepseek, designed for reasoning, planning, and complex problem solving.

Reasoning Model Newly ReleasedEnglish

Pricing

Input 4 CNY / 1M tokens
Output 12 CNY / 1M tokens
Text to Image -
Image to Image -
Text to Video -
Image to Video -

Capabilities

Input Types Text
Output Types Text
Function Calling Supported
Session Cache Not supported
Fine-Tuning Not supported
Prefix Cache Not supported
Structured Output Supported
Image Understanding Not supported
Text Generation Supported
Text to Image -
Image to Image -
Text to Video -
Image to Video -
Open Source Status -

Parameters

Last Updated 2026-08-27
Context Length 128K
Max Input Tokens 96K
Max Output Tokens 32K
Max Thought Tokens 32K
TPM 5000K
RPM 30K
Parameter Count 671B params
Modalities Multimodal
Language Support English
Best For Reasoning, planning, and complex problem solving
Resolution -
Video Duration -
Frame Rate -

Benchmarks

These benchmark scores summarize how the model performs across different tasks and evaluation sets.

AIME

Measures performance on difficult competition-level mathematics problems.

88.4
GPQA

Evaluates graduate-level science knowledge and reasoning ability.

59
LiveCodeBench

Benchmarks code understanding and real-world coding task performance.

74.8
MMLU Pro

Tests multidisciplinary knowledge, comprehension, and reasoning.

75.9
Coding Index

Summarizes overall coding capability across supported tasks.

71.6