openai/gpt-oss-120b
Model weightsgpt-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 | $0.15 | $0.03 | 2.30s | 15 tps | ||
| $0.03 | $0.17 | $0.03 | 0.42s | 36 tps | ||
| $0.03 | $0.18 | $0.03 | 0.82s | 25 tps | ||
| $0.03 | $0.187 | $0.03 | 8.59s | 41 tps | ||
| $0.037 | $0.17 | -- | 0.58s | 23 tps | ||
| $0.05 | $0.25 | $0.05 | 0.29s | 169 tps | ||
| $0.05 | $0.25 | -- | 0.75s | 39 tps | ||
| $0.05 | $0.25 | -- | 0.73s | 153 tps | ||
| $0.06 | $0.42 | $0.012 | 0.43s | 53 tps | ||
| $0.10 | $0.50 | $0.10 | 0.30s | 213 tps | ||
| $0.10 | $0.50 | $0.10 | 0.31s | 213 tps | ||
| $0.10 | $0.75 | $0.055 | 0.39s | 125 tps | ||
| $0.14 | $0.95 | -- | 0.61s | 261 tps | ||
| $0.15 | $0.60 | -- | 0.35s | 272 tps | ||
| $0.15 | $0.60 | -- | 0.58s | 322 tps | ||
| $0.15 | $0.60 | -- | 0.34s | 117 tps | ||
| $0.15 | $0.60 | -- | 0.95s | 138 tps | ||
| $0.15 | $0.60 | $0.075 | 0.18s | 308 tps | ||
| $0.15 | $0.75 | -- | 0.86s | 197 tps | ||
| $0.35 | $0.75 | $0.35 | 0.26s | 774 tps | ||
| $0.09 | $0.36 | -- | 0.34s | 184 tps | ||
| $0.15 | $0.60 | $0.075 | 1.29s | 19 tps | ||
| $0.15 | $0.60 | -- | 0.31s | 179 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.41s | 157 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.