Submit
DeepSeekOpen-weight·33K context·671B params·DeepSeek License

DeepSeek V3.1deepseek/deepseek-chat-v3-1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

Cheapest blended:$0.30 / 1M tokenson DeepSeek · 1 provider listed

Pricing across providers

Sort by:
ProviderInput /1MOutput /1MBlended /1MLatency p50FormatFreshnessAction

1 hosting hidden — prices older than 60 days are pending re-verification.

Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.

Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

  • chat
  • reasoning
  • code
  • math
  • tool_use

Languages: en, zh

Code samples

Example using DeepSeek — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.deepseek.com/v1",
)

response = client.chat.completions.create(
    model="deepseek-chat-v3.1",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
33K
Max output
7K
Parameters
671B
Release
—
Training cutoff
—
License
DeepSeek License
Hugging Face →Official blog →

Similar models

Compare with

Frequently asked

How much does DeepSeek V3.1 cost?+
The cheapest public hosting is $0.30 per 1M blended tokens on DeepSeek. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access DeepSeek V3.1 from outside China?+
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is DeepSeek V3.1 open-source? Can I fine-tune it?+
Yes. DeepSeek V3.1 is open-weight under the DeepSeek License license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is DeepSeek V3.1 OpenAI-compatible?+
Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for DeepSeek V3.1?+
The model supports up to 32,768 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.