Models / DeepSeek

DeepSeek

Deploy DeepSeek V3 and R1 on Together AI. Transparent reasoning, frontier performance, and 90% cost savings vs closed-source alternatives.

Why DeepSeek on Together AI?

Designed for production workloads that need 
consistent performance and operational control.

Frontier performance at a fraction of the cost

DeepSeek’s MoE architecture delivers GPT-4 class performance at one-tenth the price. Together AI’s infrastructure adds 70–90% cost savings over closed-source alternatives.

Transparent reasoning, no black boxes

DeepSeek R1 exposes its complete chain-of-thought in <think> tags. Debug, verify, and trust your model’s reasoning process at every step.

Enterprise-ready from day one

SOC 2 Type II certified, HIPAA compliant, and deployed on US-based infrastructure. Full model ownership with no data retention by default.

Meet the DeepSeek family

Explore top-performing models across text, image, video, code, and voice.

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DeepSeek V4 Pro

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DeepSeek-V3-0324

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DeepSeek-R1-0528

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DeepSeek R1 Distilled Llama 70B Free

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DeepSeek-R1-0528 Throughput

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DeepSeek-V3.1

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DeepSeek-V3.2-Exp

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DeepSeek R1 Distilled Llama 70B

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DeepSeek R1 Distilled Qwen 14B

Have your own model?

Deploy custom containers on Together’s managed GPU infrastructure with automatic scaling, job queues, and built-in observability.

Deployment options

Run models using different deployment options depending on latency needs, traffic patterns, and infrastructure control.

  • Serverless Inference

  • Provisioned 
Throughput

  • Dedicated Model 
Inference

  • Dedicated Container 
Inference

Serverless Inference

A fully managed real-time or batch inference API with access to dozens of the most popular AI models.

Best for

Variable or unpredictable traffic

Rapid prototyping and iteration

Cost-sensitive or early-stage production workloads

Provisioned 
Throughput

Reserved token capacity with SLA guarantees. Priced in PTUs, a normalized throughput unit. 

Best for

Production workloads

Reliability guarantees

Predictable pricing

Dedicated Model 
Inference

An inference endpoint backed by reserved, isolated compute resources and Together AI inference research.

Best for

Predictable or steady traffic

Latency-sensitive applications

High-throughput production workloads

Dedicated Container 
Inference

Run inference with your own engine and model on fully-managed, scalable infrastructure.

Best for

Generative media models

Non-standard runtimes

Custom inference pipelines