Interested in running Qwen3 Instruct in production?

Request access to Together Dedicated Endpoints—private and fast Qwen3 Instruct inference at scale.

  • Fastest inference: We run Qwen3-235B over 2.75x faster than any other provider
  • Flexible scaling: Deploy via Together Serverless or dedicated endpoints
  • Extended context: 256K tokens natively for complex tasks
  • Secure & reliable: Private, compliant, and built for production

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Qwen3 Instruct on Together AI

Unmatched performance. Cost-effective scaling. Secure infrastructure.

Fastest inference engine

We run Qwen3-235B over 2.75x faster than any other provider, with MoE-optimized infrastructure ensuring low-latency performance for production workloads.

Scalable infrastructure

Whether you're just starting out or scaling to production workloads, choose from Together Serverless APIs for flexible, pay-per-token usage or dedicated endpoints for predictable, high-volume operations.

Security-first approach

We host all models in our own data centers. Developers retain full control over their data with opt-out privacy settings.

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