LLM Reference

DeepSeek V3.1 on Novita AI

DeepSeek V3 · DeepSeek

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Last refreshed 2026-05-22. Next refresh: weekly.

Why use DeepSeek V3.1 on Novita AI?

Novita AI offers DeepSeek V3.1 with pay-as-you-go pricing at $0.27/1M input tokens. Novita AI offers a GPU-based inference API for image, video, and language model generation with a broad catalog of open-source models.

Compare DeepSeek V3.1 across 8 providers to find the best fit for your use case
Input / 1M
$0.27
Output / 1M
$1.00
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: deepseek-v3.1
Model ID
deepseek-v3.1

Request example

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Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare DeepSeek V3.1 Across Providers

ProviderInput (per 1M)Output (per 1M)
Microsoft Foundry
Fireworks AI$0.56$1.68
NVIDIA NIM
Together AI$0.60$1.70
AWS Bedrock$0.60$1.73
View all 8 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.27
Output tokens$1.00

Capabilities

VisionMultimodalStructured OutputsCode Execution

About DeepSeek V3.1

Enhanced reasoning and grounded retrieval model from DeepSeek with multimodal text and image understanding.

FAQ

What does DeepSeek V3.1 cost on Novita AI?

On Novita AI, DeepSeek V3.1 costs $0.27 per 1M input tokens and $1 per 1M output tokens.

What is the context window for DeepSeek V3.1 on Novita AI?

DeepSeek V3.1 supports a 131,072 token context window on Novita AI.

How does Novita AI compare to other DeepSeek V3.1 providers?

DeepSeek V3.1 is available from 8 providers. The cheapest input pricing is $0.27/1M tokens from Novita AI.

What API model ID do I use for DeepSeek V3.1 on Novita AI?

Use the model ID deepseek-v3.1 when calling Novita AI's API.

Who created DeepSeek V3.1?

DeepSeek V3.1 was created by DeepSeek as part of the DeepSeek V3 model family.

Is DeepSeek V3.1 open source?

DeepSeek V3.1 is not open source; the seed data lists it as proprietary.

Get Started

Model Specs

Released2025-08-21
Parameters671B total, 37B active (MoE)
Context64K
ArchitectureMixture of Experts

GPU-Hour Providers(1)

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