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Documentation Index

Fetch the complete documentation index at: https://docs.together.ai/llms.txt

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DeepSeek V3.1 is the latest, state-of-the-art hybrid-inference AI model from DeepSeek, blending “Think” and “Non-Think” modes within a single architecture. It’s the newer version of the DeepSeek V3 model with efficient hybrid reasoning.

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How to use DeepSeek V3.1

Get started with this model in 10 lines of code! The model ID is deepseek-ai/DeepSeek-V3.1 and the pricing is $0.60 for input tokens and $1.70 for output tokens. 
from together import Together

client = Together()
resp = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3.1",
    messages=[
        {
            "role": "user",
            "content": "What are some fun things to do in New York?",
        }
    ],
    stream=True,
)
for tok in resp:
    if tok.choices:
        print(tok.choices[0].delta.content, end="", flush=True)

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Hybrid Thinking

Here’s how to enable thinking in DeepSeek V3.1. 
from together import Together

client = Together()

stream = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3.1",
    messages=[
        {
            "role": "user",
            "content": "What are some fun things to do in New York?",
        }
    ],
    reasoning={"enabled": True},
    stream=True,
)

for chunk in stream:
    if not chunk.choices:
        continue
    delta = chunk.choices[0].delta

    # Show reasoning tokens if present
    if hasattr(delta, "reasoning") and delta.reasoning:
        print(delta.reasoning, end="", flush=True)

    # Show content tokens if present
    if hasattr(delta, "content") and delta.content:
        print(delta.content, end="", flush=True)

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How is it different from DeepSeek V3?

DeepSeek V3.1 – the newer better version of DeepSeek V3 – has a few key differences:
  • Hybrid model w/ two main modes: Non-thinking and Thinking mode
  • Function calling only works in non-thinking mode
  • Agent capabilities: Built-in support for code agents and search agents
  • More efficient reasoning than DeepSeek-R1
  • Continued long-context pre-training