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OpenAI gpt-oss

gpt-oss-120b and gpt-oss-20b: OpenAI open-weight models (Apache 2.0) for GDPR-compliant self-hosting – model variants, EU deployment options and recommendation.

License Apache 2.0
GDPR Hosting Available
Context 128k Tokens
Modality Text → Text

Versions

Overview of available model variants

ModelReleaseEUStrengthsWeaknessesStatus
gpt-oss-120b Recommended
5 August 2025
117B total parameters, 5.1B active (MoE) Matches or exceeds OpenAI o4-mini on coding, reasoning and tool use Runs on a single 80 GB GPU thanks to native MXFP4 quantisation Apache 2.0 – fully self-hostable
No vision input Reasoning mode increases latency
Current
gpt-oss-20b
5 August 2025
21B total parameters, 3.6B active (MoE) Runs in ~16 GB of memory – laptop-capable Matches or exceeds OpenAI o3-mini Apache 2.0
Lower capacity than gpt-oss-120b No vision input
Current

Use Cases

Typical applications for this model

GDPR-compliant self-hosting
Coding & software development
Reasoning-intensive workflows
Tool use and agentic AI
Edge and on-premise deployment (20b)
Air-gapped environments (government, critical infrastructure)

Technical Details

API, features and capabilities

API & Availability
Availability Open Weights (HuggingFace, Azure, AWS, Cloudflare, Ollama, vLLM, LM Studio etc.)
Latency (TTFT) Hardware-dependent
Throughput Hardware-dependent Tokens/Sec
Features & Capabilities
Tool Use Function Calling Structured Output Reasoning Mode
Training & Knowledge
Knowledge Cutoff June 2024
Fine-Tuning Available (LoRA, QLoRA, Full Fine-Tuning)
Language Support
Best Quality English, German, French, Spanish, Chinese
Supported Multilingual (English-dominant)
Best quality in English, very good quality in European languages

Hosting & Compliance

GDPR-compliant hosting options and licensing

GDPR-Compliant Hosting Options
Self-Hosted
Your own infrastructure
Recommended – full data control, Apache 2.0
Azure
West Europe, Germany West Central (Managed Compute)
Azure AI Foundry – only via Managed Compute/Foundry Local, not offered as a Global Standard model with a fixed region list
AWS
Frankfurt, Stockholm, Milan, Ireland (eu-central-1, eu-north-1, eu-south-1, eu-west-1); additionally London (eu-west-2, UK)
Amazon Bedrock – In-Region only, no Geo or Global cross-region option
Google Cloud
No EU location
Vertex AI Model Garden (MaaS): gpt-oss-120b only via the 'global' endpoint or the US multi-region (us-central1); gpt-oss-20b only via us-central1 – no EU processing
Cloudflare Workers AI
Global edge with EU routing
Serverless inference
License & Hosting
License Apache 2.0
Security Filters None pre-installed (self-hosted responsibility)
On-Premise Edge-capable

Benchmarks

Performance comparison with standardized tests

Competition Coding
matches o4-mini
Competition Math
exceeds o4-mini
Health Q&A
exceeds o4-mini

innFactory AI Consulting from Rosenheim, Germany advises DACH-region enterprises on GDPR-compliant integration of gpt-oss – OpenAI’s first open-weight models since GPT-2. With CompanyGPT you can operate gpt-oss securely and self-hosted in your own infrastructure. This overview reflects the state as of October 2026.

What is gpt-oss?

On 5 August 2025, OpenAI released gpt-oss-120b and gpt-oss-20b under the Apache 2.0 license – the first open-weight release since GPT-2 in 2019. For DACH enterprises, this is a turning point: for the first time, OpenAI-style models can be operated fully self-hosted, without API dependency.

Model variants

gpt-oss-120b

  • 117B total parameters, 5.1B active (Mixture-of-Experts)
  • Performance: Matches or exceeds OpenAI o4-mini on coding, reasoning, tool use and mathematics
  • Hardware: Runs on a single 80 GB GPU (A100/H100/MI300) thanks to native MXFP4 quantisation
  • Recommended for: Enterprise workloads, RAG pipelines, coding agents

gpt-oss-20b

  • 21B total parameters, 3.6B active (Mixture-of-Experts)
  • Performance: Matches or exceeds OpenAI o3-mini, especially on maths and health topics
  • Hardware: ~16 GB of memory – runs on high-end laptops and workstations
  • Recommended for: Edge deployment, local developer tools, data-sensitive prototypes

Why gpt-oss for DACH enterprises

GDPR-compliant self-hosting

Apache 2.0 permits commercial use, modification and redistribution without copyleft. This allows gpt-oss models to be operated in your own infrastructure or in EU clouds – without data leaving for OpenAI.

Broad deployment ecosystem

At launch, OpenAI partnered with the following platforms: Azure, AWS, Hugging Face, vLLM, Ollama, llama.cpp, LM Studio, Fireworks, Together AI, Baseten, Databricks, Vercel, Cloudflare, OpenRouter.

Particularly relevant in the EU:

  • Azure AI Foundry: according to Microsoft, gpt-oss is only offered via Managed Compute (dedicated GPU instance) or Foundry Local – not as a classic Global Standard model with a fixed region list like GPT-4.1
  • AWS Bedrock Marketplace: per the AWS model card, available as an In-Region model in Frankfurt, Stockholm, Milan and Ireland as well as London (UK) (no Geo or Global cross-region option)
  • Google Cloud Vertex AI Model Garden: per Google’s documentation, gpt-oss-120b/-20b are only offered via the global endpoint or the US multi-region (us-central1) – currently without EU-specific processing
  • Cloudflare Workers AI with EU edge routing

Compliance and sovereignty advantages

  • Air-gapped deployment possible (government, defence, critical infrastructure)
  • Full auditability of model weights
  • No API telemetry flowing to OpenAI

gpt-oss vs. proprietary GPT models

Aspectgpt-ossGPT-6 / Frontier
LicenceApache 2.0Proprietary
Self-hostingYesNo
Vision inputNoYes
Frontier performanceClose to o3/o4-miniHigher
GDPR effortLow (self-hostable)Depends on deployment (e.g. EU Data Zone)

For GDPR-critical workloads gpt-oss is the natural choice – even though the frontier GPT models remain superior for peak performance in vision and complex reasoning.

Related models

  • gpt-oss-safeguard: Dedicated safety variant for content moderation
  • OpenAI GPT: The proprietary model family (GPT-6, GPT-5.6) with an EU Data Zone in Microsoft Foundry
  • OpenAI Privacy Filter: Apache 2.0 PII detection model – ideal as a preprocessing layer in front of gpt-oss

Integration with CompanyGPT

With CompanyGPT gpt-oss can be operated as a GDPR-compliant alternative to GPT models via Azure inside your infrastructure. For hybrid setups we combine gpt-oss (for sensitive workloads) with cloud-hosted GPT models (for peak performance) – with intelligent per-use-case routing.

Our recommendation

gpt-oss-120b is the GDPR-compliant default recommendation in 2026 for enterprises that need OpenAI-class quality without cloud-API dependency. For edge scenarios and developer workflows, gpt-oss-20b is the ideal companion.

We support you with hardware selection, deployment architecture and integration into existing knowledge and ERP systems. Contact us for a no-obligation initial consultation.

Cost estimation for this model

For up-to-date token pricing, model variants and EU availability, see our sister project ai-prices.eu. It helps you compare and estimate the operational cost of leading AI models for your specific use case.

Compare prices on ai-prices.eu

ai-prices.eu is a project by innFactory AI Consulting GmbH and provides transparent cost estimates for leading AI models.

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