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 | 0.49s | 43 tps | ||
| $0.03 | $0.18 | $0.03 | 0.89s | 22 tps | ||
| $0.037 | $0.17 | -- | 0.42s | 54 tps | ||
| $0.037 | $0.187 | $0.037 | 0.68s | 45 tps | ||
| $0.045 | $0.275 | -- | 1.03s | 72 tps | ||
| $0.05 | $0.25 | $0.05 | 0.18s | 151 tps | ||
| $0.05 | $0.25 | -- | 0.90s | 120 tps | ||
| $0.06 | $0.42 | $0.012 | 0.63s | 47 tps | ||
| $0.10 | $0.50 | $0.10 | 0.27s | 161 tps | ||
| $0.10 | $0.50 | $0.10 | 0.25s | 166 tps | ||
| $0.10 | $0.75 | $0.055 | 0.46s | 113 tps | ||
| $0.14 | $0.95 | -- | 0.76s | 213 tps | ||
| $0.15 | $0.60 | -- | 0.31s | 235 tps | ||
| $0.15 | $0.60 | -- | 0.42s | 279 tps | ||
| $0.15 | $0.60 | -- | 0.41s | 132 tps | ||
| $0.15 | $0.60 | $0.075 | 1.40s | 29 tps | ||
| $0.15 | $0.60 | -- | 1.04s | 122 tps | ||
| $0.15 | $0.60 | $0.075 | 0.20s | 299 tps | ||
| $0.15 | $0.75 | -- | 1.13s | 190 tps | ||
| $0.35 | $0.75 | $0.35 | 0.23s | 733 tps | ||
| $0.09 | $0.36 | -- | 4.78s | 70 tps | ||
| $0.15 | $0.60 | -- | 1.91s | 53 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.59s | 130 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.