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Model details

OpenAI GPT-OSS 20b

The GPT-OSS 20b is designed as a compact, high-performance model within the gpt-oss family, specifically engineered for lower latency and specialized deployment scenarios. With 21 billion total parameters and 3.6 billion active parameters, it provides a balanced architecture that excels in agentic tasks, such as function calling, while maintaining a smaller footprint than its larger counterparts. The model is built to support configurable reasoning efforts, allowing users to adjust performance based on specific latency requirements, and provides full access to its chain-of-thought process to improve transparency and debugging during complex workflows.

Trained on the harmony response format, this model requires adherence to this specific structure to ensure correct output generation. Its release under the permissive Apache 2.0 license encourages broad experimentation and commercial integration, making it a practical choice for developers looking to fine-tune models for custom use cases. The model is optimized for local execution, with demonstrated compatibility across various hardware platforms, including support for Ryzen and Radeon systems. By offering a blend of agentic utility and local accessibility, it serves as a flexible foundation for building and deploying specialized AI applications.

Heliconegpt-oss-20bgpt-oss

Quick Info

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Provider
Helicone
Model key
gpt-oss-20b
Release date
Jun 1, 2024
Last updated
Jun 1, 2024
Knowledge cutoff
2024-06
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.05
Output token cost
$0.20

Limits

Output tokens
131,072 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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