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ModelPilot

Deploy GPT-OSS

Text & Chat

Catalogue notes · not a new performance benchmark

GPT-OSS is OpenAI's open-weight model family. The 20B model offers native function calling, while the 120B flagship provides visible chain-of-thought reasoning comparable to GPT-4.

Review a GPT-OSS setup

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Available Variants (2)

ModelGPUVRAMConfigured estimateAction
GPT-OSS 20B
Medium (20B)
L424 GBReview current priceDeploy
GPT-OSS 120B
Large (120B)
A100 80GB PCIe80 GBReview current priceDeploy

These configured estimates include the service fee and configured disk. Review the current quote before starting. Capacity, startup and output quality are not verified by this table.

Requirements

ModelPilot assigns 24–80GB cloud GPUs across the listed variants. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) with a current quote and spending controls shown before you start.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • ✓Function calling and tool use
  • ✓Chain-of-thought reasoning
  • ✓AI agent development
  • ✓Enterprise deployments

Related Models

DeepSeek R1Text & Chat

Fast reasoning model. Best for quick tasks and lower cost.

LLaMA 4Text & Chat

Meta's latest. 17B active params, 10M context, natively multimodal. Requires H100.

Qwen3Text & Chat

Fast and efficient. Best for simple tasks and lower cost.

Frequently Asked Questions

How much GPU memory is allocated for GPT-OSS?

The listed ModelPilot variants use 24–80GB cloud GPUs. Local memory needs vary with the variant, precision, quantization, and workflow settings.

How much does it cost to run GPT-OSS?

Pricing varies by hardware and storage. Review the current quote and spending controls before starting.

How long does GPT-OSS take to deploy?

Startup depends on capacity, image and model downloads, and runtime readiness. The deployment page reports progress; a catalogue entry does not guarantee a startup time.

Can I run GPT-OSS on my local GPU?

It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.

Ready to deploy GPT-OSS?

Pick a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.

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