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 | 0.41s | 33 tps | ||
| $0.03 | $0.18 | $0.03 | 0.96s | 24 tps | ||
| $0.037 | $0.17 | -- | 0.32s | 58 tps | ||
| $0.037 | $0.187 | $0.037 | 0.86s | 109 tps | ||
| $0.045 | $0.25 | -- | 1.01s | 86 tps | ||
| $0.05 | $0.25 | $0.05 | 0.21s | 221 tps | ||
| $0.05 | $0.25 | -- | 0.71s | 204 tps | ||
| $0.06 | $0.42 | $0.012 | 0.81s | 50 tps | ||
| $0.10 | $0.50 | $0.10 | 0.24s | 218 tps | ||
| $0.10 | $0.50 | $0.10 | 0.30s | 207 tps | ||
| $0.10 | $0.75 | $0.055 | 0.51s | 119 tps | ||
| $0.14 | $0.95 | -- | 0.90s | 390 tps | ||
| $0.15 | $0.60 | -- | 0.27s | 274 tps | ||
| $0.15 | $0.60 | -- | 0.51s | 267 tps | ||
| $0.15 | $0.60 | -- | 0.47s | 106 tps | ||
| $0.15 | $0.60 | $0.075 | 1.09s | 44 tps | ||
| $0.15 | $0.60 | -- | 0.84s | 177 tps | ||
| $0.15 | $0.60 | -- | 0.25s | 118 tps | ||
| $0.15 | $0.60 | $0.075 | 0.17s | 328 tps | ||
| $0.15 | $0.75 | -- | 1.03s | 211 tps | ||
| $0.35 | $0.75 | $0.35 | 0.22s | 710 tps | ||
| $0.09 | $0.36 | -- | 3.95s | 43 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.43s | 139 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.