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 | 0.42s | 35 tps | ||
| $0.03 | $0.18 | $0.03 | 0.82s | 19 tps | ||
| $0.037 | $0.17 | -- | 0.37s | 65 tps | ||
| $0.037 | $0.187 | $0.037 | 0.45s | 119 tps | ||
| $0.045 | $0.275 | -- | 0.87s | 106 tps | ||
| $0.05 | $0.25 | $0.05 | 0.29s | 230 tps | ||
| $0.05 | $0.25 | -- | 0.76s | 146 tps | ||
| $0.06 | $0.42 | $0.012 | 0.53s | 67 tps | ||
| $0.10 | $0.50 | $0.10 | 0.26s | 217 tps | ||
| $0.10 | $0.50 | $0.10 | 0.26s | 226 tps | ||
| $0.10 | $0.75 | $0.055 | 0.64s | 98 tps | ||
| $0.14 | $0.95 | -- | 0.97s | 375 tps | ||
| $0.15 | $0.60 | -- | 0.26s | 254 tps | ||
| $0.15 | $0.60 | -- | 0.51s | 284 tps | ||
| $0.15 | $0.60 | -- | 0.47s | 111 tps | ||
| $0.15 | $0.60 | $0.075 | 1.67s | 37 tps | ||
| $0.15 | $0.60 | -- | 0.91s | 132 tps | ||
| $0.15 | $0.60 | $0.075 | 0.14s | 350 tps | ||
| $0.15 | $0.75 | -- | 1.00s | 197 tps | ||
| $0.35 | $0.75 | $0.35 | 0.16s | 864 tps | ||
| $0.15 | $0.60 | -- | 0.21s | 143 tps | ||
| $0.09 | $0.36 | -- | 0.80s | 102 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.59s | 153 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.