A Milestone in Open-Source Language Models
OpenAI’s release of the GPT-OSS models, gpt-oss-20b and gpt-oss-120b, marks a major advancement in the world of open-source AI. Built for reasoning tasks, long-context understanding (up to 128K tokens), and tool use, these models are available under the permissive Apache 2.0 license. They bring the power of large language models to developers, researchers, and businesses who demand transparency, flexibility, and control.
Where You Can Access GPT-OSS Models
A wide range of providers have already adopted GPT-OSS, making them available across different performance tiers and pricing models. Here are the key players supporting these models:
Groq: High-Speed AI for Real-Time Use Cases
Groq’s custom hardware and quantization techniques (MXFP4) allow the 20B model to run on just 16GB RAM. It delivers blazing-fast inference with speeds up to 1,200 tokens per second for the 20B model and 540 tokens/sec for the 120B. Groq is ideal for real-time applications and large-scale deployments.
OpenRouter: Unified API for Cost-Efficient Deployment
OpenRouter integrates GPT-OSS into its flexible API routing system. Compatible with the OpenAI SDK, it supports developers with approximately 1,100 tokens/sec for 20B and 500 tokens/sec for 120B. Its adaptive routing makes it a go-to platform for teams looking to optimize for both performance and cost.
Fireworks AI: Developer-Friendly Inference with Real-World Performance
Fireworks AI provides OpenAI-compatible endpoints for both GPT-OSS models. It focuses on low-latency, scalable inference and offers real-world benchmarking tools to optimize performance. It’s a strong option for developers building production-ready LLM applications.
Cerebras Systems: Record-Breaking Inference Speed
Cerebras hosts the 120B model on its wafer-scale engine, achieving industry-leading inference speeds of up to 3,000 tokens/sec. This makes Cerebras the best fit for enterprises with extremely high-volume needs or latency-sensitive applications.
Hugging Face: Community and Fine-Tuning Hub for GPT-OSS
Hugging Face supports both community-hosted and OpenAI-official checkpoints. With tooling for fine-tuning and experimentation, it serves as the backbone of open-source collaboration around GPT-OSS. It’s a great place for research labs, startups, and independent developers.
AWS (Amazon Bedrock & SageMaker): Enterprise-Grade OpenAI Models
Amazon now offers GPT-OSS models via Bedrock and SageMaker JumpStart. These platforms allow organizations to scale open-weight models easily within their existing AWS infrastructure. It’s particularly useful for enterprises already operating in the Amazon ecosystem.
Google Cloud (Coming Soon): Vertex AI Integration Ahead
GPT-OSS models are expected to arrive on Google Cloud via Vertex AI by the end of 2025. This will complete support across all major cloud providers, making open-weight AI more accessible than ever.
Speed Comparison: How Fast Are GPT-OSS Models?
- Cerebras: Up to 3,000 tokens/sec (120B)
- Groq: ~1,200 tokens/sec (20B), ~540 tokens/sec (120B)
- OpenRouter: ~1,100 tokens/sec (20B), ~500 tokens/sec (120B) These speeds significantly outperform GPT-4o and many other closed-weight models, making GPT-OSS ideal for inference-heavy applications.
Pricing Overview: Affordable and Flexible
- Groq: $0.10 per 1K input tokens / $0.50 output (20B); $0.15 / $0.75 (120B)
- OpenRouter: ~$0.12 / $0.55 (20B); ~$0.18 / $0.80 (120B)
- Fireworks & Cerebras: Dynamic pricing based on usage and region
- Hugging Face: Free tiers available; premium access for fine-tuning
- AWS & Google Cloud: Enterprise pricing based on infrastructure and scale
Why GPT-OSS Matters: Open, Fast, and Production-Ready
With features like tool use, large context windows, and strong reasoning benchmarks, GPT-OSS is a serious contender to proprietary models like GPT-4o, DeepSeek R1, Gemini 1.5, and more. Its open-weight nature encourages innovation, transparency, and community-driven development.
Unlocking the Future of Open-Source AI
GPT-OSS offers high-speed, low-cost, and transparent alternatives to closed-source AI. Backed by major providers like Groq, Cerebras, Fireworks AI, and AWS, it puts the future of language models in the hands of the global developer community. Whether you’re building real-time apps, enterprise tools, or conducting cutting-edge research, GPT-OSS is the flexible, powerful foundation you need.