gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.
| $0.03 | $0.17 | $0.03 | 0.40s | 33 tps | ||
| $0.03 | $0.18 | $0.03 | 0.66s | 33 tps | ||
| $0.037 | $0.17 | -- | 0.28s | 68 tps | ||
| $0.037 | $0.187 | $0.037 | 0.66s | 123 tps | ||
| $0.045 | $0.25 | -- | 1.00s | 93 tps | ||
| $0.05 | $0.25 | $0.05 | 0.28s | 223 tps | ||
| $0.05 | $0.25 | -- | 0.70s | 199 tps | ||
| $0.06 | $0.42 | $0.012 | 0.70s | 47 tps | ||
| $0.10 | $0.50 | $0.10 | 0.23s | 214 tps | ||
| $0.10 | $0.50 | $0.10 | 0.28s | 205 tps | ||
| $0.10 | $0.75 | $0.055 | 0.49s | 115 tps | ||
| $0.14 | $0.95 | -- | 0.97s | 388 tps | ||
| $0.15 | $0.60 | -- | 0.25s | 278 tps | ||
| $0.15 | $0.60 | -- | 0.52s | 251 tps | ||
| $0.15 | $0.60 | -- | 0.46s | 103 tps | ||
| $0.15 | $0.60 | $0.075 | 1.16s | 27 tps | ||
| $0.15 | $0.60 | -- | 0.86s | 174 tps | ||
| $0.15 | $0.60 | -- | 0.23s | 121 tps | ||
| $0.15 | $0.60 | $0.075 | 0.15s | 342 tps | ||
| $0.15 | $0.75 | -- | 1.03s | 206 tps | ||
| $0.35 | $0.75 | $0.35 | 0.17s | 585 tps | ||
| $0.09 | $0.36 | -- | 3.16s | 70 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.44s | 145 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.