In a big win for developers chasing low-latency, high-context, open-source AI, Groq and HUMAIN have teamed up to launch OpenAI’s gpt-oss-120B and gpt-oss-20B models on GroqCloud—with full 128K context length, integrated tools, and global availability from day zero.
Yes, that means real-time inference, server-side tool support, and unbeatable price-performance—all with local support in the Kingdom of Saudi Arabia and enterprise-grade availability across Groq’s international data centers.
Why This Matters
While the hype cycle around generative AI continues to spin, a more grounded challenge has emerged: getting massive models to run fast and affordably in production. That’s where Groq, a company purpose-built for inference speed, is putting its silicon where its mouth is.
By deploying OpenAI’s latest open models immediately on GroqCloud, Groq is betting on a future where developers don’t just need access to powerful models—they need them now, running at full context, with tools, and at a fraction of the typical cost.
What’s Actually New
- gpt-oss-120B and gpt-oss-20B are now live on GroqCloud with:
- 128K token context (yes, full-length)
- Real-time outputs with speeds hitting 500+ tokens/sec (120B) and 1000+ tokens/sec (20B)
- Integrated tools like code execution and web search baked in from the jump
- Enterprise-grade support in Saudi Arabia via HUMAIN, a Public Investment Fund (PIF) company
That combination isn’t just impressive—it’s practically unheard of for open-source models at this scale.
The Price? Hard to Beat
Groq’s pricing undercuts typical commercial inference providers by a wide margin:
- gpt-oss-120B: $0.15 / million input tokens and $0.75 / million output tokens
- gpt-oss-20B: $0.10 / million input tokens and $0.50 / million output tokens
- Bonus: Tool use (like web search or code execution) is free for now
Given how expensive inference usually gets at scale—especially for context-heavy tasks—these prices are eyebrow-raising in the best way.
The Context Arms Race
Extended context is fast becoming the next front in AI model competition. Anthropic’s Claude boasts 200K, OpenAI’s GPT-4-turbo offers 128K, and startups like Mistral and Cohere are racing to keep up. By supporting OpenAI’s 128K models at scale without lag, Groq’s infrastructure answers the real bottleneck: it’s not just how big your model is, but how fast you can use it.
The built-in code execution and web search tools further enable the kind of reasoning and real-time adaptability that enterprise users increasingly demand.
Local Power, Global Reach
This launch also has geopolitical weight. By partnering with HUMAIN, Groq taps directly into the Kingdom of Saudi Arabia’s AI ambitions, aligning with the region’s push to become a global AI hub. According to Tareq Amin, CEO at HUMAIN, “Together, we’re enabling a new wave of Saudi innovation—powered by the best open-source models and the infrastructure to scale them globally.”
But the reach doesn’t stop there. Groq’s data center footprint spans North America, Europe, and the Middle East, allowing the platform to serve low-latency inference globally, even for developers outside the usual tech epicenters.
The Bottom Line
Groq isn’t just offering access to OpenAI’s open models—it’s offering usable, affordable, production-ready access from day one. If your business depends on fast, cost-effective inference at massive scale—and you’re tired of waiting for commercial APIs to catch up—this might be the best day-zero deployment in the AI space yet.
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