gpt-oss-20b (batch)

An open-weight 20-billion-parameter model from OpenAI using Mixture-of-Experts architecture with roughly 3.6 billion active parameters per forward pass, optimized for batch processing.

Strengths

Runs efficiently despite its parameter count due to the MoE architecture activating only a fraction of parameters per token, making it suitable for resource-constrained deployments.

Best for

Batch jobs where latency is not a constraint and efficiency matters, or for deployment scenarios where model weight and memory requirements need to be kept manageable.

Limitations

Smaller than gpt-oss-120b and positioned as a lightweight option within OpenAI's open-weight lineup, so it trades reasoning depth and capability for lower computational requirements.