Interested in running GPT-OSS in production?

Request access to Together Reasoning Clusters—dedicated, private, and fast OpenAI inference at scale.

  • Faster inference through research-driven optimizations
  • Zero throttling during viral traffic spikes
  • 99.9% uptime SLA with multi-region deployment
  • Superior economics vs proprietary alternatives
  • Transparent pricing with no hidden fees
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GPT-OSS on Together AI

Unmatched performance. Cost-effective scaling. Secure infrastructure.

Fastest inference engine

Our research team's innovations, including FlashAttention and custom kernels, deliver up to 50% cost savings and 2x performance improvements.

Scalable infrastructure

Automatic scaling from serverless to dedicated clusters handles everything from prototyping to full production during peak traffic, without throttling.

Reliable & secure

99.9% availability SLA with multi-region deployment and enterprise security hosted on SOC 2 compliant servers in North America ensures your agentic workflows complete successfully.

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