gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.
| $0.018 | $0.09 | $0.009 | 1.34s | 25 tps | ||
| $0.02 | $0.10 | -- | 0.71s | 37 tps | ||
| $0.029 | $0.14 | -- | 0.62s | 23 tps | ||
| $0.03 | $0.13 | $0.03 | 0.20s | 136 tps | ||
| $0.03 | $0.14 | -- | 0.41s | 82 tps | ||
| $0.03 | $0.15 | $0.02 | 1.96s | 18 tps | ||
| $0.04 | $0.15 | -- | 1.07s | 47 tps | ||
| $0.07 | $0.15 | -- | 0.40s | 254 tps | ||
| $0.07 | $0.25 | -- | 0.43s | 96 tps | ||
| $0.04 | $0.18 | -- | 1.23s | 20 tps | ||
| $0.075 | $0.30 | $0.0375 | 0.26s | 316 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.07 | $0.15 | -- | 0.49s | 127 tps | ||
P50, best across providers
P50, best provider
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.