New Model APIs from OpenAI and ZAI

New models just landed on NetMind API: Open source-grade performance from OpenAI, and a heavyweight contender from ZAI.

From affordable workhorse models to frontier-scale generalists, we’ve added three new options to the Model Library, so you can build faster, smarter, and more flexibly than ever.

Model at a glance

gpt-oss-20B
A cost-effective 20B parameter model straight from OpenAI’s OSS initiative. Great for mid-range tasks and scalable chat use cases.

• Total parameters: 20B
• Context window: 131K tokens
• Function calling: Not supported
• Pricing: $0.04 (input) / $0.16 (output) per million tokens
• RPM: 60

gpt-oss-120B
The bigger sibling in the OSS family. 120B parameters of general-purpose capability, still competitively priced.

• Total parameters: 120B
• Context window: 131K tokens
• Function calling: Not supported
• Pricing: $0.08 (input) / $0.40 (output) per million tokens
• RPM: 60

GLM-4.5
A 355B-parameter multilingual model from ZAI with full function calling support. Think of this as a foundation model for serious inference tasks.

• Total parameters: 355B
• Context window: 128K tokens
• Function calling: Supported
• Pricing: $0.60 (input) / $2.20 (output) per million tokens
• RPM: 60

All three models are now available via NetMind API. Whether you need affordability, scale, or feature completeness; there’s something here for your next experiment or deployment.

If you build something with them, we’d love to see it.

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